47 results on '"Nasonova, Olga"'
Search Results
2. Scientific and Human Errors in a Snow Model Intercomparison
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Menard, Cecile B., Essery, Richard, Krinner, Gerhard, Arduini, Gabriele, Bartlett, Paul, Boone, Aaron, Brutel-Vuilmet, Claire, Burke, Eleanor, Cuntz, Matthias, Dai, Yongjiu, Decharme, Bertrand, Dutra, Emanuel, Fang, Xing, Fierz, Charles, Gusev, Yeugeniy, Hagemann, Stefan, Haverd, Vanessa, Kim, Hyungjun, Lafaysse, Matthieu, Marke, Thomas, Nasonova, Olga, Nitta, Tomoko, Niwano, Masashi, Pomeroy, John, Schädler, Gerd, Semenov, Vladimir A., Smirnova, Tatiana, Strasser, Ulrich, Swenson, Sean, Turkov, Dmitry, Wever, Nander, and Yuan, Hua
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- 2021
3. Large-scale structure and galaxy motions in the Leo/Cancer constellations
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Karachentsev, Igor D., Nasonova, Olga G., and Karachentseva, Valentina E.
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Astrophysics - Astrophysics of Galaxies ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
In the region of the sky limited by the coordinates RA$=7.0^h...12.0^h$, Dec$=0^\circ...+20^\circ$ and extending from the Virgo Cluster to the South Pole of the Local Supercluster, we consider the data on the galaxies with radial velocities $V_{LG}\lesssim 2000$ km/s. For 290 among them, we determine individual distances and peculiar velocities. In this region, known as the local velocity anomaly zone, there are 23 groups and 20 pairs of galaxies for which the estimates of virial/orbital masses are obtained. A nearby group around NGC3379 = Leo I and NGC3627 as well as the Local Group show the motion from the Local Void in the direction of Leo cloud with a characteristic velocity of about 400 km/s. Another rich group of galaxies around NGC3607 reveals peculiar velocity of about -420 km/s in the frame of reference related with the cosmic background radiation. A peculiar scattered association of dwarf galaxies Gemini Flock at a distance of 8 Mpc has the radial velocity dispersion of only 20 km/s and the size of approximately 0.7 Mpc. The virial mass estimate for it is 300 times greater than the total stellar mass. The ratio of the sum of virial masses of groups and pairs in the Leo/Can region to the sum of stellar masses of the galaxies contained in them equals 26, which is equivalent to the local average density $\Omega_{m(local)} = 0.074$, which is 3-4 times smaller than the global average density of matter., Comment: 23 pages, 10 figures, 3 tables. Accepted to Astrophysical Bulletin
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- 2015
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4. Structure and kinematics of the Bootes filament
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Nasonova, Olga G., Karachentsev, Igor D., and Karachentseva, Valentina E.
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Astrophysics - Astrophysics of Galaxies ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
Bootes filament of galaxies is a dispersed chain of groups residing on sky between the Local Void and the Virgo cluster. We consider a sample of 361 galaxies inside the sky area of $RA = 13.0^h ... 18.5^h$ and $Dec = -5^\circ ... +10^\circ$ with radial velocities $V_{LG} < 2000$ km/s to clarify its structure and kinematics. In this region, 161 galaxies have individual distance estimates. We use these data to draw the Hubble relation for galaxy groups, pairs as well as the field galaxies, and to examine the galaxy distribution on peculiar velocities. Our analysis exposes the known Virgo-centric infall at $RA < 14^h$ and some signs of outflow from the Local Void at $RA > 17^h$. According to the galaxy grouping criterion, this complex contains the members of 13 groups, 11 pairs and 140 field galaxies. The most prominent group is dominated by NGC5846. The Bootes filament contains the total stellar mass of $2.7\times10^{12} M_\odot$ and the total virial mass of $9.07\times10^{13} M_\odot$, having the average density of dark matter to be $\Omega_m = 0.09$, i.e. a factor three lower than the global cosmic value., Comment: 3 pages, 3 figures. Submitted to the Proceedings of the IAU Symposium 308 (The Zeldovich Universe: Genesis and Growth of the Cosmic Web)
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- 2014
5. Galaxy motions in the Bootes strip
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Karachentsev, Igor D., Karachentseva, Valentina E., and Nasonova, Olga G.
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Astrophysics - Cosmology and Nongalactic Astrophysics ,Astrophysics - Astrophysics of Galaxies - Abstract
We explore the structure and kinematics of a dispersed filament of galaxies residing between the Local Void and the Virgo cluster. For such purpose, we consider a sample of 361 galaxies with radial velocities $V_{LG} < 2000$ km/s inside the sky area of RA = [13.0 ... 18.0]$^h$ and Dec. = [$-$5 ... $+$10]$^\circ$. At present, 161 of them have individual distance estimates. The galaxy distribution on peculiar velocities along the strip exhibits the known Virgo-centric infall at RA < 14$^h$ and some signs of outflow from the Local Void at RA > 17$^h$. Majority of the Bootes strip galaxies (56%) belong to 13 groups and 11 pairs, with the most prominent group around NGC5846. The Bootes strip groups reside within [17$-$27]Mpc, being all farther from us than the Virgo cluster. The Bootes filament contains the total stellar mass of $2.7\times10^{12} M_\odot$ and the total virial mass of $9.07\times10^{13} M_\odot$, having the average density of dark matter to be $\Omega_m = 0.09$, i.e. a factor three lower than the global cosmic average., Comment: 19 pages, 7 figures, 3 tables. Accepted by Astrofizika
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- 2014
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6. Abundance of Field Galaxies
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Klypin, Anatoly, Karachentsev, Igor, Makarov, Dmitry, and Nasonova, Olga
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Astrophysics - Cosmology and Nongalactic Astrophysics ,Astrophysics - Astrophysics of Galaxies - Abstract
We present new measurements of the abundance of galaxies with a given circular velocity in the Local Volume: a region centered on the Milky Way Galaxy and extending to distance 10Mpc. The sample of 750 mostly dwarf galaxies provides a unique opportunity to study the abundance and properties of galaxies down to absolute magnitudes MB= -10, and virial masses Mvir= 1e9Msun. We find that the standard LCDM model gives remarkably accurate estimates for the velocity function of galaxies with circular velocities V>60kms and corresponding virial masses Mvir> 3e10Msun, but it badly fails by over-predicting 5 times the abundance of large dwarfs with velocities V= 30-50kms. The Warm Dark Matter models cannot explain the data either, regardless of mass of the WDM particle. Just as in previous observational studies, we find a shallow asymptotic slope dN/dlog V = V**alpha, alpha =-1 of the velocity function, which is inconsistent with the standard LCDM model that predicts the slope alpha =-3. Though reminiscent to the known overabundance of satellites problem, the overabundance of field galaxies is a much more difficult problem. For the LCDM model to survive, in the 10Mpc radius of the Milky Way there should be 1000 dark galaxies with virial mass Mvir= 1e10Msun, extremely low surface brightness and no detectable HI gas. So far none of this type of galaxies have been discovered., Comment: 15 pages, 13 figures. Published in MNRAS: 2015, v454, p1798
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- 2014
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7. Does a successful comprehensive evaluation increase confidence in a hydrological model intended for climate impact assessment?
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Gelfan, Alexander, Kalugin, Andrey, Krylenko, Inna, Nasonova, Olga, Gusev, Yeugeniy, and Kovalev, Evgeny
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- 2020
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8. Intense look at Virgo Southern Extension
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Karachentsev, Igor D. and Nasonova, Olga G.
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Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We collected data on radial velocities and distances of galaxies to elucidate structure and kinematics of the filament attached to the Virgo cluster from south. In the region RA = [12.5 - 13.5]h, Dec = [-20 - 0]deg there are 171 galaxies with radial velocities VLG < 2000 km/s, and 98 of them have distance estimates. This galaxy cloud, called as "Virgo Southern Extension", is situated just on the edge of the Virgo "zero-velocity surface". The mean distance to Virgo SEx, 17pm2 Mpc, and the average radial velocity, 1172pm23 km/s, are very close to the Virgo cluster ones. In Supergalactic coordinates the Virgo SEx dimensions are 15x7x2 Mpc, where the major axis is directed along the line of sight, the second-major axis looks towards the Virgo core and the minor one is perpendicular to the Supergalactic plane. This flattened cloud consists of a dozen virialized groups with the total K-band luminosity of 1.7cdot10^12 Lsol and the total virial mass of 6.3cdot10^13 Msol, having a typical dark matter-to-stellar matter ratio of 37. The Hubble diagram for Virgo SEx galaxies exhibits a tendency of Z-shape wave with a velocity amplitude of ~250 km/s that may be caused by a mass overdensity of ~6cdot10^13 Msol, and in order of magnitude agrees with the sum of virial masses of the groups., Comment: 19 pages, 4 figures, 2 tables, accepted for MNRAS, Dec 4, 2012
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- 2012
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9. Fast motions of galaxies in the Coma I cloud: a case of Dark Attractor?
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Karachentsev, Igor D., Nasonova, Olga G., and Courtois, Helene M.
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Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We notice that nearby galaxies having high negative peculiar velocities are distributed over the sky very inhomogeneously. A part of this anisotropy is caused by the "Local Velocity Anomaly", i.e. by the bulk motion of nearby galaxies away from the Local Void. But a half of the fast-flying objects reside within a small region RA = [11.5h, 13.0h], Dec. = [+20\circ, +40\circ], known as the Coma I cloud. According to Makarov & Karachentsev (2011), this complex contains 8 groups, 5 triplets, 10 pairs and 83 single galaxies with the total mass of 4.7\star10^13M\odot. We use 122 galaxies in the Coma I region with known distances and radial velocities VLG < 3000 km/s to draw the Hubble relation for them. The Hubble diagram shows a Z-shape effect of infall with an amplitude of +200 km/s on the nearby side and -700 km/s on the back side. This phenomena can be understood as the galaxy infall towards a dark attractor with the mass of \sim 2\star10^14M\odot situated at a distance of 15 Mpc from us. The existence of large void between the Coma and Virgo clusters affects probably the Hubble flow around the Coma I also., Comment: Accepted for publication in ApJ, 23 pages, 4 figures
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- 2011
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10. Reconstructions in human history by mapping dental markers in living Eurasian populations
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Kashibadze, Vera F., Nasonova, Olga G., and Nasonov, Dmitry S.
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Quantitative Biology - Populations and Evolution - Abstract
On the base of advantages in gene geography and anthropophenetics the phenogeographical method for anthropological research is initiated and experienced using dental data. Statistical and cartographical analyses are provided for 498 living Eurasian populations. Mapping principal components supplied evidence for the phene pool structure in Eurasian populations and for reconstructions of our species history on the continent. The longitudinal variability seems to be the most important regularity revealed by principal components analysis (PCA) and mapping proving the division of the whole area into western and eastern main provinces. So, the most ancient scenario in the history of Eurasian populations was developing from two perspective different groups: western group related to ancient populations of West Asia and the eastern one rooted by ancestry in South and/or East Asia. In spite of the enormous territory and the revealed divergence the populations of the continent have undergone wide scale and intensive time-space interaction. Many details in the revealed landscapes could be backgrounded to different historical events. The most amazing results are obtained for proving migrations and assimilation as two essential phenomena in Eurasian history: the wide spread of the western combination through the whole continent till the Pacific coastline and the envision of the movement of the paradox combinations of eastern and western markers from South or Central Asia to the east and to the west. Taking into account that no additional eastern combinations in the total variation in Asian groups have been found but mixed or western markers' sets and that eastern dental characteristics are traced in Asia since Homo erectus, the assumption is made in favour of the hetero-level assimilation in the Eastern province and of net-like evolution of our species., Comment: 7 pages, 4 figures, 1 table. Accepted to Quaternary International (INQUA-SEQS 2010 Proceedings)
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- 2011
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11. Hubble flow around Fornax cluster of galaxies
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Nasonova, Olga G., Pacheco, José A. de Freitas, and Karachentsev, Igor D.
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Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
Aims. This work aims to provide a new mass estimate for the Fornax cluster and the Fornax-Eridanus complex, avoiding methods like the virial or fits of X-ray emission profile, which assume that the system is in equilibrium, probably not the case of Fornax, still in process of formation. Methods. Our mass estimate is based on the determination of the zero-velocity surface which, in the context of the spherical infall model permits an evaluation of the total mass inside such a surface. The zero-velocity surface radius R0 was estimated either by a running median procedure or by fitting the data to the velocity field expected from the spherical model, including effects of the cosmological constant. The velocity field in a region within 20 Mpc of the Fornax center was mapped using a list of 109 galaxies whose distances have an average accuracy of 0.31 mag in their distance modulus. Results. Our analysis indicates that the mass of the Fornax cluster itself inside a radius of [2.62-5.18] Mpc is [0.40-3.32] \times 10^14 Modotwhile the mass inside [3.88-5.60] Mpc, corresponding to the Fornax-Eridanus complex is [1.30-3.93] \times 10^14 M\odot., Comment: Version 1. 13 pages, 10 figures, 5 tables. Accepted to Astronomy & Astrophysics
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- 2011
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12. On the kinematics of the Local cosmic void
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Nasonova, Olga and Karachentsev, Igor
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Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We collected the existing data on the distances and radial velocities of galaxies around the Local Void in the Aquila/Hercules to examine the peculiar velocity field induced by its underdensity. A sample of 1056 galaxies with distances measured from the Tip of the Red Giant Branch, the Cepheid luminosity, the SNIa luminosity, the surface brightness fluctuation method, and the Tully-Fisher relation has been used for this purpose. The amplitude of outflow is found to be ~300 km/s. The galaxies located within the void produce the mean intra-void number density about 1/5 of the mean external number density of galaxies. The void's population has a lower luminosity and a later morphological type with the medians: M_B = -15.7^m and T = 8 (Sdm), respectively., Comment: Version 1. 14 pages, 8 figures, 2 tables. Accepted to Astrophysics, Volume 54, Issue 1
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- 2010
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13. Climate Change Impact On Water Balance Components In Arctic River Basins
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Nasonova, Olga N., primary, Gusev, Yeugeny M., additional, and Kovalev, Evgeny, additional
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- 2023
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14. The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) Phase 2(c) Red–Arkansas River basin experiment: 1. Experiment description and summary intercomparisons
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Wood, Eric F, Lettenmaier, Dennis P, Liang, Xu, Lohmann, Dag, Boone, Aaron, Chang, Sam, Chen, Fei, Dai, Yongjiu, Dickinson, Robert E, Duan, Qingyun, Ek, Michael, Gusev, Yeugeniy M, Habets, Florence, Irannejad, Parviz, Koster, Randy, Mitchel, Kenneth E, Nasonova, Olga N, Noilhan, Joel, Schaake, John, Schlosser, Adam, Shao, Yaping, Shmakin, Andrey B, Verseghy, Diana, Warrach, Kirsten, Wetzel, Peter, Xue, Yongkang, Yang, Zong-Liang, and Zeng, Qing-cun
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Life on Land ,PILPS ,land-surface parameterization ,continental river basin modeling ,energy/water balance ,calibration of land-surface schemes ,Red-Arkansas River basin ,Earth Sciences ,Networking & Telecommunications - Abstract
Sixteen land-surface schemes participating in the project for the Intercomparison of Land-surface Schemes (PILPS) Phase 2(c) were run using 10 years (1979-1988) of forcing data for the Red-Arkansas River basins in the Southern Great Plains region of the United States. Forcing data (precipitation, incoming radiation and surface meteorology) and land-surface characteristics (soil and vegetation parameters) were provided to each of the participating schemes. Two groups of runs are presented. (1) Calibration-validation runs, using data from six small catchments distributed across the modeling domain. These runs were designed to test the ability of the schemes to transfer information about model parameters to other catchments and to the computational grid boxes. (2) Base-runs, using data for 1979-1988, designed to evaluate the ability of the schemes to reproduce measured energy and water fluxes over multiple seasonal cycles across a climatically diverse, continental-scale basin. All schemes completed the base-runs but five schemes chose not to calibrate. Observational data (from 1980-1986) including daily river flows and monthly basin total evaporation estimated through an atmospheric budget analysis, were used to evaluate model performance. In general, the results are consistent with earlier PILPS experiments in terms of differences among models in predicted water and energy fluxes. The mean annual net radiation varied between 80 and 105 W m-2 (excluding one model). The mean annual Bowen ratio varied from 0.52 to 1.73 (also excluding one model) as compared to the data-estimated value of 0.92. The run-off ratios varied from a low of 0.02 to a high of 0.41, as compared to an observed value of 0.15. In general, those schemes that did not calibrate performed worse, not only on the validation catchments, but also at the scale of the entire modeling domain. This suggests that further PILPS experiments on the value of calibration need to be carried out.
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- 1998
15. The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) phase 2(c) Red-Arkansas River basin experiment: 2. Spatial and temporal analysis of energy fluxes
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Liang, Xu, Wood, Eric F, Lettenmaier, Dennis P, Lohmann, Dag, Boone, Aaron, Chang, Sam, Chen, Fei, Dai, Yongjiu, Desborough, Carl, Dickinson, Robert E, Duan, Qingyun, Ek, Michael, Gusev, Yeugeniy M, Habets, Florence, Irannejad, Parviz, Koster, Randy, Mitchell, Kenneth E, Nasonova, Olga N, Noilhan, Joel, Schaake, John, Schlosser, Adam, Shao, Yaping, Shmakin, Andrey B, Verseghy, Diana, Warrach, Kirsten, Wetzel, Peter, Xue, Yongkang, Yang, Zong-Liang, and Zeng, Qing-cun
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PILPS ,energy balance ,land-surface models ,Red-Arkansas River basin ,Earth Sciences ,Networking & Telecommunications - Abstract
The energy components of sixteen Soil-Vegetation Atmospheric Transfer (SVAT) schemes were analyzed and intercompared using 10 years of surface meteorological and radiative forcing data from the Red-Arkansas River basin in the Southern Great Plains of the United States. Comparisons of simulated surface energy fluxes among models showed that the net radiation and surface temperature generally had the best agreement among the schemes. On an average (annual and monthly) basis, the estimated latent heat fluxes agreed (to within approximate estimation errors) with the latent heat fluxes derived from a radiosonde-based atmospheric budget method for slightly more than half of the schemes. The sensible heat fluxes had larger differences among the schemes than did the latent heat fluxes, and the model-simulated ground heat fluxes had large variations among the schemes. The spatial patterns of the model-computed net radiation and surface temperature were generally similar among the schemes, and appear reasonable and consistent with observations of related variables, such as surface air temperature. The spatial mean patterns of latent and sensible heat fluxes were less similar than for net radiation, and the spatial patterns of the ground heat flux vary greatly among the 16 schemes. Generally, there is less similarity among the models in the temporal (interannual) variability of surface fluxes and temperature than there is in the mean fields, even for schemes with similar mean fields.
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- 1998
16. The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) phase 2(c) Red–Arkansas River basin experiment: 3. Spatial and temporal analysis of water fluxes
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Lohmann, Dag, Lettenmaier, Dennis P, Liang, Xu, Wood, Eric F, Boone, Aaron, Chang, Sam, Chen, Fei, Dai, Yongjiu, Desborough, Carl, Dickinson, Robert E, Duan, Qingyun, Ek, Michael, Gusev, Yeugeniy M, Habets, Florence, Irannejad, Parviz, Koster, Randy, Mitchell, Kenneth E, Nasonova, Olga N, Noilhan, Joel, Schaake, John, Schlosser, Adam, Shao, Yaping, Shmakin, Andrey B, Verseghy, Diana, Warrach, Kirsten, Wetzel, Peter, Xue, Yongkang, Yang, Zong-Liang, and Zeng, Qing-cun
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PILPS ,water balance ,routing model ,continental river basin modeling ,Red-Arkansas River basin ,Earth Sciences ,Networking & Telecommunications - Abstract
The water-balance components of 16 Soil-Vegetation Atmospheric Transfer (SVAT) schemes were evaluated by comparing predicted and observed streamflow, predicted evapotranspiration and evapotranspiration inferred from an atmospheric moisture budget analysis, and soil moisture storage changes for a seven-year period (1980-1986) using data from the Red-Arkansas River basins of the Southern Great Plains of the USA. The evaluations support the following suggestions: (a) The mean annual runoff of all models follows, at least generally, the strong climatic East-West gradient of precipitation, although most models predict too much runoff in the dry part of the basin. (b) The mean monthly storage change tends to be underestimated, even though all models capture reasonably well the seasonality of the evapotranspiration. (c) The wide range of conceptualizations used for generation of surface and subsurface runoff strongly affect runoff generation on seasonal, and shorter, time scales. Model responses to summer precipitation ranged from almost no summer runoff (one model) to the (more common) situation of persistent overprediction of summer runoff, especially in the driest part of the basin. (d) All models tended to underpredict evapotranspiration in summer and overpredict in winter. (e) Model-derived mean seasonal cycles of changes in soil moisture storage are qualitatively similar to those inferred from observations, but most models do not predict the decrease in April soil moisture storage and the increase in October that is inferred from observations.
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- 1998
17. Application of a technique for scenario prediction of climate change impact on the water balance components of northern river basins
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Gusev Yeugeniy M. and Nasonova Olga N.
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water balance components ,climate change scenarios ,land surface - atmosphere interactions ,physicallybased land surface modeling ,global data sets ,northern river basins ,Hydraulic engineering ,TC1-978 - Abstract
The scenario forecasting technique for assessing changes of water balance components of the northern river basins due to possible climate change was developed. Three IPCC global emission scenarios corresponding to different possible scenarios for economic, technological, political and demographic development of the human civilization in the 21st century were chosen for generating climate change projections by an ensemble of 16 General Circulation Models with a high spatial resolution. The projections representing increments of monthly values of meteorological characteristics were used for creating 3-hour meteorological time series up to 2063 for the Northern Dvina River basin, which belongs to the pan-Arctic basin and locates at the north of the European part of Russia. The obtained time series were applied as forcing data to drive the land surface model SWAP to simulate possible changes in the water balance components due to different scenarios of climate change for the Northern Dvina River basin
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- 2014
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18. THE AMMA LAND SURFACE MODEL INTERCOMPARISON PROJECT (ALMIP)
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Boone, Aaron, de Rosnay, Patricia, Balsamo, Gianpaolo, Beljaars, Anton, Chopin, Franck, Decharme, Bertrand, Delire, Christine, Ducharne, Agnes, Gascoin, Simon, Grippa, Manuela, Guichard, Françoise, Gusev, Yeugeniy, Harris, Phil, Jarlan, Lionel, Kergoat, Laurent, Mougin, Eric, Nasonova, Olga, Norgaard, Anette, Orgeval, Tristan, Ottlé, Catherine, Poccard-Leclercq, Isabelle, Polcher, Jan, Sandholt, Inge, Saux-Picart, Stephane, Taylor, Christopher, and Xue, Yongkang
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- 2009
19. Investigating the Ability of a Land Surface Model to Simulate Streamflow with the Accuracy of Hydrological Models : A Case Study Using MOPEX Materials
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Nasonova, Olga N., Gusev, Yeugeniy M., and Kovalev, Yeugeniy E.
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- 2009
20. Slippery Slopes: Gaining Traction in the Complex Process of Snow Model Intercomparison
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Menard, Cecile B., primary, Essery, Richard, additional, Krinner, Gerhard, additional, Arduini, Gabriele, additional, Bartlett, Paul, additional, Boone, Aaron, additional, Brutel-Vuilmet, Claire, additional, Burke, Eleanor, additional, Cuntz, Matthias, additional, Dai, Yongjiu, additional, Decharme, Bertrand, additional, Dutra, Emanuel, additional, Fang, Xing, additional, Fierz, Charles, additional, Gusev, Yeugeniy, additional, Hagemann, Stefan, additional, Haverd, Vanessa, additional, Kim, Hyungjun, additional, Lafaysse, Matthieu, additional, Marke, Thomas, additional, Nasonova, Olga, additional, Nitta, Tomoko, additional, Niwano, Masashi, additional, Pomeroy, John, additional, Schädler, Gerd, additional, Semenov, Vladimir A., additional, Smirnova, Tatiana, additional, Strasser, Ulrich, additional, Swenson, Sean, additional, Turkov, Dmitry, additional, Wever, Nander, additional, and Yuan, Hua, additional
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- 2021
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21. Effects of Frozen Soil on Soil Temperature, Spring Infiltration, and Runoff : Results from the PILPS 2(d) Experiment at Valdai, Russia
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Luo, Lifeng, Robock, Alan, Vinnikov, Konstantin Y., Schlosser, C. Adam, Slater, Andrew G., Boone, Aaron, Braden, Harald, Cox, Peter, de Rosnay, Patricia, Dickinson, Robert E., Dai, Yongjiu, Duan, Qingyun, Etchevers, Pierre, Henderson-Sellers, Ann, Gedney, Nicola, Gusev, Yevgeniy M., Habets, Florence, Kim, Jinwon, Kowalczyk, Eva, Mitchell, Kenneth, Nasonova, Olga N., Noilhan, Joel, Pitman, Andrew J., Schaake, John, Shmakin, Andrey B., Smirnova, Tatiana G., Wetzel, Peter, Xue, Yongkang, Yang, Zong-Liang, and Zeng, Qing-Cun
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- 2003
22. Snow cover duration trends observed at sites and predicted by multiple models
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Essery, Richard, primary, Kim, Hyungjun, additional, Wang, Libo, additional, Bartlett, Paul, additional, Boone, Aaron, additional, Brutel-Vuilmet, Claire, additional, Burke, Eleanor, additional, Cuntz, Matthias, additional, Decharme, Bertrand, additional, Dutra, Emanuel, additional, Fang, Xing, additional, Gusev, Yeugeniy, additional, Hagemann, Stefan, additional, Haverd, Vanessa, additional, Kontu, Anna, additional, Krinner, Gerhard, additional, Lafaysse, Matthieu, additional, Lejeune, Yves, additional, Marke, Thomas, additional, Marks, Danny, additional, Marty, Christoph, additional, Menard, Cecile B., additional, Nasonova, Olga, additional, Nitta, Tomoko, additional, Pomeroy, John, additional, Schädler, Gerd, additional, Semenov, Vladimir, additional, Smirnova, Tatiana, additional, Swenson, Sean, additional, Turkov, Dmitry, additional, Wever, Nander, additional, and Yuan, Hua, additional
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- 2020
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23. Snow water equivalent variability in the northwest of European Russia according to observation and modeling
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Popova, Valeria V., primary, Turkov, Dmitriy, additional, and Nasonova, Olga, additional
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- 2020
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24. Climate change impact on terrestrial water balance components at continental and global scales
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Nasonova, Olga, primary, Gusev, Yeugeniy, additional, and Kovalev, Evgeny, additional
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- 2020
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25. Does a comprehensive evaluation increase confidence in the hydrological model intended for climate impact assessment?
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Gelfan, Alexander, primary, Kalugin, Andrei, additional, Krylenko, Inna, additional, Nasonova, Olga, additional, Gusev, Yeugeniy, additional, and Kovalev, Evgeny, additional
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- 2020
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26. Simulation of high latitude hydrological processes in the Torne–Kalix basin: PILPS Phase 2(e): 2: Comparison of model results with observations
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Nijssen, Bart, Bowling, Laura C, Lettenmaier, Dennis P, Clark, Douglas B, El Maayar, Mustapha, Essery, Richard, Goers, Sven, Gusev, Yeugeniy M, Habets, Florence, van den Hurk, Bart, Jin, Jiming, Kahan, Daniel, Lohmann, Dag, Ma, Xieyao, Mahanama, Sarith, Mocko, David, Nasonova, Olga, Niu, Guo-Yue, Samuelsson, Patrick, Shmakin, Andrey B, Takata, Kumiko, Verseghy, Diana, Viterbo, Pedro, Xia, Youlang, Xue, Yongkang, and Yang, Zong-Liang
- Published
- 2003
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27. Simulation of high-latitude hydrological processes in the Torne–Kalix basin: PILPS Phase 2(e): 1: Experiment description and summary intercomparisons
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Bowling, Laura C., Lettenmaier, Dennis P., Nijssen, Bart, Graham, L.Phil, Clark, Douglas B., El Maayar, Mustapha, Essery, Richard, Goers, Sven, Gusev, Yeugeniy M., Habets, Florence, van den Hurk, Bart, Jin, Jiming, Kahan, Daniel, Lohmann, Dag, Ma, Xieyao, Mahanama, Sarith, Mocko, David, Nasonova, Olga, Niu, Guo-Yue, Samuelsson, Patrick, Shmakin, Andrey B., Takata, Kumiko, Verseghy, Diana, Viterbo, Pedro, Xia, Youlong, Xue, Yongkang, and Yang, Zong-Liang
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- 2003
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28. The simulation of heat and water exchange in the boreal spruce forest by the land-surface model SWAP
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Gusev, Yeugeniy M. and Nasonova, Olga N.
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- 2003
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29. ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks
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Krinner, Gerhard, Derksen, Chris, Essery, Richard, Flanner, Mark, Hagemann, Stefan, Clark, Martyn, Hall, Alex, Rott, Helmut, Brutel-Vuilmet, Claire, Kim, Hyungjun, Ménard, Cécile B., Mudryk, Lawrence, Thackeray, Chad, Wang, Libo, Arduini, Gabriele, Balsamo, Gianpaolo, Bartlett, Paul, Boike, Julia, Boone, Aaron, Chéruy, Frédérique, Colin, Jeanne, Cuntz, Matthias, Dai, Yongjiu, Decharme, Bertrand, Derry, Jeff, Ducharne, Agnès, Dutra, Emanuel, Fang, Xing, Fierz, Charles, Ghattas, Josephine, Gusev, Yeugeniy, Haverd, Vanessa, Kontu, Anna, Lafaysse, Matthieu, Law, Rachel, Lawrence, Dave, Li, Weiping, Marke, Thomas, Marks, Danny, Ménégoz, Martin, Nasonova, Olga, Nitta, Tomoko, Niwano, Masashi, Pomeroy, John, Raleigh, Mark S., Schaedler, Gerd, Semenov, Vladimir, Smirnova, Tanya G., Stacke, Tobias, Strasser, Ulrich, Svenson, Sean, Turkov, Dmitry, Wang, Tao, Wever, Nander, Yuan, Hua, Zhou, Wenyan, Zhu, Dan, SILVA (SILVA), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL)-AgroParisTech, World Climate Research Programme's Climate and Cryosphere (CliC) core project NERC Natural Environment Research CouncilNE/P011926/1European Space Agency Russian Science Foundation (RSF)16-17-10039Russian Foundation for Basic Research (RFBR)18-05-60216APPLICATE project European Union (EU)727862Swiss National Science Foundation (SNSF)200021E-160667European Union (EU)641816Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT)Japan Society for the Promotion of Science16H06291National Science Foundation (NSF)1543268, Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS), Climate Research Division [Toronto], Environment and Climate Change Canada, School of Geosciences Grant Institute, University of Edinburgh, Department of Climate and Space Sciences and Engineering (CLaSP), University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Research Applications Laboratory [Boulder] (RAL), National Center for Atmospheric Research [Boulder] (NCAR), Environmental Earth Observation IT GmbH (ENVEO), Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Institute of Industrial Science (IIS), The University of Tokyo, Milieux Environnementaux, Transferts et Interactions dans les hydrosystèmes et les Sols (METIS), École pratique des hautes études (EPHE)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), The University of Tokyo (UTokyo), École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut de Recherche pour le Développement (IRD)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), École pratique des hautes études (EPHE), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
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[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,thermal-conductivity ,arctic amplification ,latitude hydrological processes ,torne-kalix basin ,water equivalent ,Modélisation et simulation ,land-surface model ,intercomparison project ,Earth sciences ,Modeling and Simulation ,[SDE]Environmental Sciences ,ddc:550 ,albedo feedback ,pilps phase-2(e) ,[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology ,Milieux et Changements globaux ,sensitivity-analysis - Abstract
Krinner, Gerhard Derksen, Chris Essery, Richard Flanner, Mark Hagemann, Stefan Clark, Martyn Hall, Alex Rott, Helmut Brutel-Vuilmet, Claire Kim, Hyungjun Menard, Cecile B. Mudryk, Lawrence Thackeray, Chad Wang, Libo Arduini, Gabriele Balsamo, Gianpaolo Bartlett, Paul Boike, Julia Boone, Aaron Cheruy, Frederique Colin, Jeanne Cuntz, Matthias Dai, Yongjiu Decharme, Bertrand Derry, Jeff Ducharne, Agnes Dutra, Emanuel Fang, Xing Fierz, Charles Ghattas, Josephine Gusev, Yeugeniy Haverd, Vanessa Kontu, Anna Lafaysse, Matthieu Law, Rachel Lawrence, Dave Li, Weiping Marke, Thomas Marks, Danny Menegoz, Martin Nasonova, Olga Nitta, Tomoko Niwano, Masashi Pomeroy, John Raleigh, Mark S. Schaedler, Gerd Semenov, Vladimir Smirnova, Tanya G. Stacke, Tobias Strasser, Ulrich Svenson, Sean Turkov, Dmitry Wang, Tao Wever, Nander Yuan, Hua Zhou, Wenyan Zhu, Dan Menard, Cecile/F-7860-2014; Raleigh, Mark S/M-7687-2015; Krinner, Gerhard/A-6450-2011; Balsamo, Gianpaolo/M-5734-2019; Flanner, Mark/C-6139-2011; Nasonova, Olga/B-6093-2014; KIM, HYUNGJUN/I-5099-2014; Dutra, Emanuel/A-3774-2010; Turkov, Dmitry/Y-3186-2018; gusev, yeugeniy/G-4711-2014; Kontu, Anna/O-8886-2014; Zhu, Dan/J-4450-2019; Balsamo, Gianpaolo/I-3362-2013; Niwano, Masashi/N-6723-2016 Menard, Cecile/0000-0003-2166-9523; Raleigh, Mark S/0000-0002-1303-3472; Krinner, Gerhard/0000-0002-2959-5920; Balsamo, Gianpaolo/0000-0002-1745-3634; Flanner, Mark/0000-0003-4012-174X; KIM, HYUNGJUN/0000-0003-1083-8416; Dutra, Emanuel/0000-0002-0643-2643; Turkov, Dmitry/0000-0002-1813-757X; gusev, yeugeniy/0000-0003-3886-2143; Kontu, Anna/0000-0001-6880-6260; Zhu, Dan/0000-0002-5857-1899; Balsamo, Gianpaolo/0000-0002-1745-3634; Fang, Xing/0000-0002-4333-4815; Decharme, Bertrand/0000-0002-8661-1464; Niwano, Masashi/0000-0003-3121-3802 1991-9603; International audience; This paper describes ESM-SnowMIP, an international coordinated modelling effort to evaluate current snow schemes, including snow schemes that are included in Earth system models, in a wide variety of settings against local and global observations. The project aims to identify crucial processes and characteristics that need to be improved in snow models in the context of local-and global-scale modelling. A further objective of ESM-SnowMIP is to better quantify snow-related feedbacks in the Earth system. Although it is not part of the sixth phase of the Coupled Model Intercom-parison Project (CMIP6), ESM-SnowMIP is tightly linked to the CMIP6-endorsed Land Surface, Snow and Soil Moisture Model Intercomparison (LS3MIP).
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- 2018
30. ESM-SnowMIP: Assessing models and quantifying snow-related climate feedbacks
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Krinner, Gerhard, primary, Derksen, Chris, additional, Essery, Richard, additional, Flanner, Mark, additional, Hagemann, Stefan, additional, Clark, Martyn, additional, Hall, Alex, additional, Rott, Helmut, additional, Brutel-Vuilmet, Claire, additional, Kim, Hyungjun, additional, Ménard, Cécile B., additional, Mudryk, Lawrence, additional, Thackeray, Chad, additional, Wang, Libo, additional, Arduini, Gabriele, additional, Balsamo, Gianpaolo, additional, Bartlett, Paul, additional, Boike, Julia, additional, Boone, Aaron, additional, Chéruy, Frédérique, additional, Colin, Jeanne, additional, Cuntz, Matthias, additional, Dai, Yongjiu, additional, Decharme, Bertrand, additional, Derry, Jeff, additional, Ducharne, Agnès, additional, Dutra, Emanuel, additional, Fang, Xing, additional, Fierz, Charles, additional, Ghattas, Josephine, additional, Gusev, Yeugeniy, additional, Haverd, Vanessa, additional, Kontu, Anna, additional, Lafaysse, Matthieu, additional, Law, Rachel, additional, Lawrence, Dave, additional, Li, Weiping, additional, Marke, Thomas, additional, Marks, Danny, additional, Nasonova, Olga, additional, Nitta, Tomoko, additional, Niwano, Masahi, additional, Pomeroy, John, additional, Raleigh, Mark S., additional, Schaedler, Gerd, additional, Semenov, Vladimir, additional, Smirnova, Tanya, additional, Stacke, Tobias, additional, Strasser, Ulrich, additional, Svenson, Sean, additional, Turkov, Dmitry, additional, Wang, Tao, additional, Wever, Nander, additional, Yuan, Hua, additional, and Zhou, Wenyan, additional
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- 2018
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31. Climate change impact on streamflow in large-scale river basins: projections and their uncertainties sourced from GCMs and RCP scenarios
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Nasonova, Olga N., primary, Gusev, Yeugeniy M., additional, Kovalev, Evgeny E., additional, and Ayzel, Georgy V., additional
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- 2018
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32. Impact of possible climate changes on river runoff under different natural conditions
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Gusev, Yeugeniy M., primary, Nasonova, Olga N., additional, Kovalev, Evgeny E., additional, and Ayzel, Georgy V., additional
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- 2018
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33. Modelling the impact of mulching the soil with plant remains on water regime formation, crop yield and energy costs in agricultural ecosystems
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Gusev, Yeugeniy M., primary, Dzhogan, Larisa Y., additional, and Nasonova, Olga N., additional
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- 2018
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34. The main differences between speaking British and American English
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NASONOVA OLGA OLEGOVNA and SMIRNOV KIRILL ALEXANDROVICH
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LANGUAGE,AMERICAN ENGLISH,BRITISH ENGLISH,PRONUNCIATION,SPELLING,VARIATION,VOCABULARY,DIFFERENCE,EXPRESSION - Abstract
In this article we made a review of the main differences between American and British English. We describe in details the using differences of the both variation in six important aspects: speaking, pronunciation, grammar, vocabulary, punctuation, phrasing.
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- 2016
35. Modelling river runoff and estimating its weather-related uncertainty for 11 large-scale rivers located in different regions of the globe
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Gusev, Yeugeniy M., primary, Nasonova, Olga N., primary, Kovalev, Evgeny E., primary, and Aizel, Georgii V., primary
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- 2017
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36. Weather noise impact on the uncertainty of simulated water balance components of river basins
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Gusev, Yeugeniy M., primary, Semenov, Vladimir A., additional, Nasonova, Olga N., additional, and Kovalev, Evgeny E., additional
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- 2017
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37. THE LOCAL TULLY–FISHER RELATION FOR DWARF GALAXIES
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Karachentsev, Igor D., primary, Kaisina, Elena I., additional, and Kashibadze (Nasonova), Olga G., additional
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- 2016
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38. Abundance of field galaxies
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Klypin, Anatoly, primary, Karachentsev, Igor, additional, Makarov, Dmitry, additional, and Nasonova, Olga, additional
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- 2015
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39. Modelling river runoff and estimating its weather-related uncertainty for 11 large-scale rivers located in different regions of the globe.
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Gusev, Yeugeniy M., Nasonova, Olga N., Kovalev, Evgeny E., and Aizel, Georgii V.
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- *
BIG data , *PHYSICAL measurements , *SOIL moisture , *SCHEMATISM (Philosophy) , *GRID cells - Abstract
In order to study the possibility of reproducing river runoff with making use of the land surface model Soil Water-Atmosphere-Plants (SWAP) and information based on global data sets 11 river basins suggested within the framework of the Inter-Sectoral Impact Model Intercomparison Project and located in various regions of the globe under a wide variety of natural conditions were used. Schematization of each basin as a set of 0.5° × 0.5° computational grid cells connected by a river network was carried out. Input data including atmospheric forcing data and land surface parameters based, respectively, on the global WATCH and ECOCLIMAP data sets were prepared for each grid cell. Simulations of river runoff performed by SWAP with a priori input data showed poor agreement with observations. Optimization of a number of model parameters substantially improved the results. The obtained results confirm the universal character of SWAP. Natural uncertainty of river runoff caused by weather noise was estimated and analysed. It can be treated as the lowest limit of predictability of river runoff. It was shown that differences in runoff uncertainties obtained for different rivers depend greatly on natural conditions of a river basin, in particular, on the ratio of deterministic and random components of the river runoff. [ABSTRACT FROM AUTHOR]
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- 2018
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40. Evaluation of forest snow processes models (SnowMIP2)
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Rutter, Nick, Essery, Richard, Pomeroy, John, Altimir, Nuria, Andreadis, Kostas, Baker, Ian, Barr, Alan, Bartlett, Paul, Boone, Aaron, Deng, Huiping, Douville, Herve, Dutra, Emanuel, Elder, Kelly, Ellis, Chad, Feng, Xia, Gelfan, Alexander, Goodbody, Angus, Gusev, Yeugeniy, Gustafsson, David, Hellstroem, Rob, Hirabayashi, Yukiko, Hirota, Tomoyoshi, Jonas, Tobias, Koren, Victor, Kuragina, Anna, Lettenmaier, Dennis, Li, Wei-Ping, Luce, Charlie, Martin, Eric, Nasonova, Olga, Pumpanen, Jukka, Pyles, R. David, Samuelsson, Patrick, Sandells, Melody, Schaedler, Gerd, Shmakin, Andrey, Smirnova, Tatiana G., Staehli, Manfred, Stoeckli, Reto, Strasser, Ulrich, Su, Hua, Suzuki, Kazuyoshi, Takata, Kumiko, Tanaka, Kenji, Thompson, Erin, Vesala, Timo, Viterbo, Pedro, Wiltshire, Andrew, Xia, Kun, Xue, Yongkang, Yamazaki, Takeshi, Rutter, Nick, Essery, Richard, Pomeroy, John, Altimir, Nuria, Andreadis, Kostas, Baker, Ian, Barr, Alan, Bartlett, Paul, Boone, Aaron, Deng, Huiping, Douville, Herve, Dutra, Emanuel, Elder, Kelly, Ellis, Chad, Feng, Xia, Gelfan, Alexander, Goodbody, Angus, Gusev, Yeugeniy, Gustafsson, David, Hellstroem, Rob, Hirabayashi, Yukiko, Hirota, Tomoyoshi, Jonas, Tobias, Koren, Victor, Kuragina, Anna, Lettenmaier, Dennis, Li, Wei-Ping, Luce, Charlie, Martin, Eric, Nasonova, Olga, Pumpanen, Jukka, Pyles, R. David, Samuelsson, Patrick, Sandells, Melody, Schaedler, Gerd, Shmakin, Andrey, Smirnova, Tatiana G., Staehli, Manfred, Stoeckli, Reto, Strasser, Ulrich, Su, Hua, Suzuki, Kazuyoshi, Takata, Kumiko, Tanaka, Kenji, Thompson, Erin, Vesala, Timo, Viterbo, Pedro, Wiltshire, Andrew, Xia, Kun, Xue, Yongkang, and Yamazaki, Takeshi
- Abstract
Thirty-three snowpack models of varying complexity and purpose were evaluated across a wide range of hydrometeorological and forest canopy conditions at five Northern Hemisphere locations, for up to two winter snow seasons. Modeled estimates of snow water equivalent (SWE) or depth were compared to observations at forest and open sites at each location. Precipitation phase and duration of above-freezing air temperatures are shown to be major influences on divergence and convergence of modeled estimates of the subcanopy snowpack. When models are considered collectively at all locations, comparisons with observations show that it is harder to model SWE at forested sites than open sites. There is no universal "best'' model for all sites or locations, but comparison of the consistency of individual model performances relative to one another at different sites shows that there is less consistency at forest sites than open sites, and even less consistency between forest and open sites in the same year. A good performance by a model at a forest site is therefore unlikely to mean a good model performance by the same model at an open site (and vice versa). Calibration of models at forest sites provides lower errors than uncalibrated models at three out of four locations. However, benefits of calibration do not translate to subsequent years, and benefits gained by models calibrated for forest snow processes are not translated to open conditions., QC 20100525
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- 2009
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41. FAST MOTIONS OF GALAXIES IN THE COMA I CLOUD: A CASE OF DARK ATTRACTOR?
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Karachentsev, Igor D., primary, Nasonova, Olga G., additional, and Courtois, Helene M., additional
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- 2011
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42. Evaluation of forest snow processes models (SnowMIP2)
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Rutter, Nick, primary, Essery, Richard, additional, Pomeroy, John, additional, Altimir, Nuria, additional, Andreadis, Kostas, additional, Baker, Ian, additional, Barr, Alan, additional, Bartlett, Paul, additional, Boone, Aaron, additional, Deng, Huiping, additional, Douville, Hervé, additional, Dutra, Emanuel, additional, Elder, Kelly, additional, Ellis, Chad, additional, Feng, Xia, additional, Gelfan, Alexander, additional, Goodbody, Angus, additional, Gusev, Yeugeniy, additional, Gustafsson, David, additional, Hellström, Rob, additional, Hirabayashi, Yukiko, additional, Hirota, Tomoyoshi, additional, Jonas, Tobias, additional, Koren, Victor, additional, Kuragina, Anna, additional, Lettenmaier, Dennis, additional, Li, Wei‐Ping, additional, Luce, Charlie, additional, Martin, Eric, additional, Nasonova, Olga, additional, Pumpanen, Jukka, additional, Pyles, R. David, additional, Samuelsson, Patrick, additional, Sandells, Melody, additional, Schädler, Gerd, additional, Shmakin, Andrey, additional, Smirnova, Tatiana G., additional, Stähli, Manfred, additional, Stöckli, Reto, additional, Strasser, Ulrich, additional, Su, Hua, additional, Suzuki, Kazuyoshi, additional, Takata, Kumiko, additional, Tanaka, Kenji, additional, Thompson, Erin, additional, Vesala, Timo, additional, Viterbo, Pedro, additional, Wiltshire, Andrew, additional, Xia, Kun, additional, Xue, Yongkang, additional, and Yamazaki, Takeshi, additional
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- 2009
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43. Simulations of a boreal grassland hydrology at Valdai, Russia: PILPS phase 2(d)
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Schlosser, C. Adam, Slater, Andrew G., Robock, Alan, Pitman, Andrew J., Vinnikov, Konstantin Ya., Henderson-Sellers, Ann, Speranskaya, Nina A., Mitchell, Ken, Boone, Aaron, Braden, Harald, Chen, Fei, Cox, Peter, De Rosnay, Patricia, Desborough, Carl E., Dickenson, Robert E., Dai, Yong-Jiu, Duan, Qingyun, Entin, Jared, Etchevers, Pierre, Gedney, Nicola, Gusev, Yeugeniy M., Habets, Florence, Kim, Jinwon, Koren, Victor, Kowalczyk, Eva, Nasonova, Olga N., Noilhan, Joel, Schaake, John, Shmakin, Andrey B., Smirnova, Tatiana G., Verseghy, Diana, Wetzel, Peter, Xue, Yongkang, Yang, Zong-Liang, Schlosser, C. Adam, Slater, Andrew G., Robock, Alan, Pitman, Andrew J., Vinnikov, Konstantin Ya., Henderson-Sellers, Ann, Speranskaya, Nina A., Mitchell, Ken, Boone, Aaron, Braden, Harald, Chen, Fei, Cox, Peter, De Rosnay, Patricia, Desborough, Carl E., Dickenson, Robert E., Dai, Yong-Jiu, Duan, Qingyun, Entin, Jared, Etchevers, Pierre, Gedney, Nicola, Gusev, Yeugeniy M., Habets, Florence, Kim, Jinwon, Koren, Victor, Kowalczyk, Eva, Nasonova, Olga N., Noilhan, Joel, Schaake, John, Shmakin, Andrey B., Smirnova, Tatiana G., Verseghy, Diana, Wetzel, Peter, Xue, Yongkang, and Yang, Zong-Liang
- Abstract
The Project for the Intercomparison of Land-Surface Parameterization Schemes (PILPS) aims to improve understanding and modeling of land surface processes. PILPS phase 2(d) uses a set of meteorological and hydrological data spanning 18 yr (1966-83) from a grassland catchment at the Valdai water-balance research site in Russia. A suite of stand-alone simulations is performed by 21 land surface schemes (LSSs) to explore the LSSs' sensitivity to downward longwave radiative forcing, timescales of simulated hydrologic variability, and biases resulting from single-year simulations that use recursive spinup. These simulations are the first in PILPS to investigate the performance of LSSs at a site with a well-defined seasonal snow cover and frozen soil. Considerable model scatter for the control simulations exists. However, nearly all the LSS scatter in simulated root-zone soil moisture is contained within the spatial variability observed inside the catchment. In addition, all models show a considerable sensitivity to longwave forcing for the simulation of the snowpack, which during the spring melt affects runoff, meltwater infiltration, and subsequent evapotranspiration. A greater sensitivity of the ablation, compared to the accumulation, of the winter snowpaek to the choice of snow parameterization is found. Sensitivity simulations starting at prescribed conditions with no spinup demonstrate that the treatment of frozen soil (moisture) processes can affect the long-term variability of the models. The single-year recursive runs show large biases, compared to the corresponding year of the control run, that can persist through the entire year and underscore the importance of performing multiyear simulations.
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- 2000
44. The project for intercomparison of land-surface parameterization schemes (PILPS) phase 2(c) Red-Arkansas River basin experiment: 1. Experiment description and summary intercomparisons
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Wood, Eric F., Lettenmaier, Dennis P., Liang, Xu, Lohmann, Dag, Boone, Aaron, Chang, Sam, Chen, Fei, Dai, Yongjiu, Dickinson, Robert E., Duan, Qingyun, Ek, Michael, Gusev, Yeugeniy M., Habets, Florence, Irannejad, Parviz, Koster, Randy, Mitchel, Kenneth E., Nasonova, Olga N., Noilhan, Joel, Schaake, John, Schlosser, Adam, Shao, Yaping, Shmakin, Andrey B., Verseghy, Diana, Warrach, Kirsten, Wetzel, Peter, Xue, Yongkang, Yang, Zong-Liang, Zeng, Qing-Cun, Wood, Eric F., Lettenmaier, Dennis P., Liang, Xu, Lohmann, Dag, Boone, Aaron, Chang, Sam, Chen, Fei, Dai, Yongjiu, Dickinson, Robert E., Duan, Qingyun, Ek, Michael, Gusev, Yeugeniy M., Habets, Florence, Irannejad, Parviz, Koster, Randy, Mitchel, Kenneth E., Nasonova, Olga N., Noilhan, Joel, Schaake, John, Schlosser, Adam, Shao, Yaping, Shmakin, Andrey B., Verseghy, Diana, Warrach, Kirsten, Wetzel, Peter, Xue, Yongkang, Yang, Zong-Liang, and Zeng, Qing-Cun
- Abstract
Sixteen land-surface schemes participating in the project for the Intercomparison of Land-surface Schemes (PILPS) Phase 2(c) were run using 10 years (1979-1988) of forcing data for the Red-Arkansas River basins in the Southern Great Plains region of the United States. Forcing data (precipitation, incoming radiation and surface meteorology) and land-surface characteristics (soil and vegetation parameters) were provided to each of the participating schemes. Two groups of runs are presented. (1) Calibration-validation runs, using data from six small catchments distributed across the modeling domain. These runs were designed to test the ability of the schemes to transfer information about model parameters to other catchments and to the computational grid boxes. (2) Base-runs, using data for 1979-1988, designed to evaluate the ability of the schemes to reproduce measured energy and water fluxes over multiple seasonal cycles across a climatically diverse, continental-scale basin. All schemes completed the base-runs but five schemes chose not to calibrate. Observational data (from 1980-1986) including daily river flows and monthly basin total evaporation estimated through an atmospheric budget analysis, were used to evaluate model performance. In general, the results are consistent with earlier PILPS experiments in terms of differences among models in predicted water and energy fluxes. The mean annual net radiation varied between 80 and 105 W m-2 (excluding one model). The mean annual Bowen ratio varied from 0.52 to 1.73 (also excluding one model) as compared to the data-estimated value of 0.92. The run-off ratios varied from a low of 0.02 to a high of 0.41, as compared to an observed value of 0.15. In general, those schemes that did not calibrate performed worse, not only on the validation catchments, but also at the scale of the entire modeling domain. This suggests that further PILPS experiments on the value of calibration need to be carried out.
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- 1998
45. The simulation of heat and water exchange at the land–atmosphere interface for the boreal grassland by the land‐surface model SWAP
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Gusev, Yeugeniy M., primary and Nasonova, Olga N., additional
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- 2002
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46. ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks
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Krinner, Gerhard, Derksen, Chris, Essery, Richard, Flanner, Mark, Hagemann, Stefan, Clark, Martyn, Hall, Alex, Rott, Helmut, Brutel-Vuilmet, Claire, Kim, Hyungjun, Ménard, Cécile B., Mudryk, Lawrence, Thackeray, Chad, Wang, Libo, Arduini, Gabriele, Balsamo, Gianpaolo, Bartlett, Paul, Boike, Julia, Boone, Aaron, Chéruy, Frédérique, Colin, Jeanne, Cuntz, Matthias, Dai, Yongjiu, Decharme, Bertrand, Derry, Jeff, Ducharne, Agnès, Dutra, Emanuel, Fang, Xing, Fierz, Charles, Ghattas, Josephine, Gusev, Yeugeniy, Haverd, Vanessa, Kontu, Anna, Lafaysse, Matthieu, Law, Rachel, Lawrence, Dave, Li, Weiping, Marke, Thomas, Marks, Danny, Ménégoz, Martin, Nasonova, Olga, Nitta, Tomoko, Niwano, Masashi, Pomeroy, John, Raleigh, Mark S., Schaedler, Gerd, Semenov, Vladimir, Smirnova, Tanya G., Stacke, Tobias, Strasser, Ulrich, Svenson, Sean, Turkov, Dmitry, Wang, Tao, Wever, Nander, Yuan, Hua, Zhou, Wenyan, and Zhu, Dan
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13. Climate action
47. Snow cover duration trends observed at sites and predicted by multiple models
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Essery, Richard, Kim, Hyungjun, Wang, Libo, Bartlett, Paul, Boone, Aaron, Brutel-Vuilmet, Claire, Burke, Eleanor, Cuntz, Matthias, Decharme, Bertrand, Dutra, Emanuel, Fang, Xing, Gusev, Yeugeniy, Hagemann, Stefan, Haverd, Vanessa, Kontu, Anna, Krinner, Gerhard, Lafaysse, Matthieu, Lejeune, Yves, Marke, Thomas, Marks, Danny, Marty, Christoph, Menard, Cecile B., Nasonova, Olga, Nitta, Tomoko, Pomeroy, John, Schädler, Gerd, Semenov, Vladimir, Smirnova, Tatiana, Swenson, Sean, Turkov, Dmitry, Wever, Nander, and Yuan, Hua
- Subjects
13. Climate action - Abstract
The 30-year simulations of seasonal snow cover in 22 physically based models driven with bias-corrected meteorological reanalyses are examined at four sites with long records of snow observations. Annual snow cover durations differ widely between models, but interannual variations are strongly correlated because of the common driving data. No significant trends are observed in starting dates for seasonal snow cover, but there are significant trends towards snow cover ending earlier at two of the sites in observations and most of the models. A simplified model with just two parameters controlling solar radiation and sensible heat contributions to snowmelt spans the ranges of snow cover durations and trends. This model predicts that sites where snow persists beyond annual peaks in solar radiation and air temperature will experience rapid decreases in snow cover duration with warming as snow begins to melt earlier and at times of year with more energy available for melting.
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