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Start Over Author "Nasonova, Olga" Publisher american meteorological society
7 results on '"Nasonova, Olga"'

1. Slippery Slopes: Gaining Traction in the Complex Process of Snow Model Intercomparison

Author

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

Published
2021
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2. Scientific and Human Errors in a Snow Model Intercomparison

Author

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

Published
2021
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3. The AMMA Land Surface Model Intercomparison Project (ALMIP)

Author

Boone, Aaron, de Rosnay, Patricia, Balsamo, Gianpaolo, Beljaars, Anton, Chopin, Franck, Decharme, Bertrand, Delire, Christine, Ducharne, Agnes, Gascoin, Simon, Grippa, Manuela, Guichard, Francoise, 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, Xue, Yongkang, Boone, Aaron, de Rosnay, Patricia, Balsamo, Gianpaolo, Beljaars, Anton, Chopin, Franck, Decharme, Bertrand, Delire, Christine, Ducharne, Agnes, Gascoin, Simon, Grippa, Manuela, Guichard, Francoise, 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

Abstract

The rainfall over West Africa has been characterized by extreme variability in the last half-century, with prolonged droughts resulting in humanitarian crises. There is, therefore, an urgent need to better understand and predict the West African monsoon (WAM), because social stability in this region depends to a large degree on water resources. The economies are primarily agrarian, and there are issues related to food security and health. In particular, there is a need to better understand land–atmosphere and hydrological processes over West Africa because of their potential feedbacks with the WAM. This is being addressed through a multiscale modeling approach using an ensemble of land surface models that rely on dedicated satellite-based forcing and land surface parameter products, and data from the African Multidisciplinary Monsoon Analysis (AMMA) observational field campaigns. The AMMA land surface model (LSM) Intercomparison Project (ALMIP) offline, multimodel simulations comprise the equivalent of a multimodel reanalysis product. They currently represent the best estimate of the land surface processes over West Africa from 2004 to 2007. An overview of model intercomparison and evaluation is presented. The far-reaching goal of this effort is to obtain better understanding and prediction of the WAM and the feedbacks with the surface. This can be used to improve water management and agricultural practices over this region

Published
2009

4. The AMMA Land Surface Model Intercomparison Project (ALMIP)

Author

Boone, Aaron, primary, de Rosnay, Patricia, additional, Balsamo, Gianpaolo, additional, Beljaars, Anton, additional, Chopin, Franck, additional, Decharme, Bertrand, additional, Delire, Christine, additional, Ducharne, Agnes, additional, Gascoin, Simon, additional, Grippa, Manuela, additional, Guichard, Françoise, additional, Gusev, Yeugeniy, additional, Harris, Phil, additional, Jarlan, Lionel, additional, Kergoat, Laurent, additional, Mougin, Eric, additional, Nasonova, Olga, additional, Norgaard, Anette, additional, Orgeval, Tristan, additional, Ottlé, Catherine, additional, Poccard-Leclercq, Isabelle, additional, Polcher, Jan, additional, Sandholt, Inge, additional, Saux-Picart, Stephane, additional, Taylor, Christopher, additional, and Xue, Yongkang, additional

Published
2009
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6. Simulations of a boreal grassland hydrology at Valdai, Russia: PILPS phase 2(d)

Author

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.

Published
2000

7. Effects of Frozen Soil on Soil Temperature, Spring Infiltration, and Runoff: Results from the PILPS 2(d) Experiment at Valdai, Russia

Author

Luo, Lifeng, primary, Robock, Alan, additional, Vinnikov, Konstantin Y., additional, Schlosser, C. Adam, additional, Slater, Andrew G., additional, Boone, Aaron, additional, Etchevers, Pierre, additional, Habets, Florence, additional, Noilhan, Joel, additional, Braden, Harald, additional, Cox, Peter, additional, de Rosnay, Patricia, additional, Dickinson, Robert E., additional, Dai, Yongjiu, additional, Zeng, Qing-Cun, additional, Duan, Qingyun, additional, Schaake, John, additional, Henderson-Sellers, Ann, additional, Gedney, Nicola, additional, Gusev, Yevgeniy M., additional, Nasonova, Olga N., additional, Kim, Jinwon, additional, Kowalczyk, Eva, additional, Mitchell, Kenneth, additional, Pitman, Andrew J., additional, Shmakin, Andrey B., additional, Smirnova, Tatiana G., additional, Wetzel, Peter, additional, Xue, Yongkang, additional, and Yang, Zong-Liang, additional

Published
2003
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