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1. Quality control of a global hourly rainfall dataset

Author

Lewis, Elizabeth, Pritchard, David, Villalobos-Herrera, Roberto, Blenkinsop, Stephen, McClean, Fergus, Guerreiro, Selma, Schneider, Udo, Becker, Andreas, Finger, Peter, Meyer-Christoffer, Anja, Rustemeier, Elke, and Fowler, Hayley J.

Published
2021
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3. THE EU-FP7 ERA-CLIM2 PROJECT CONTRIBUTION TO ADVANCING SCIENCE AND PRODUCTION OF EARTH SYSTEM CLIMATE REANALYSES

Author

Buizza, Roberto, Brönnimann, Stefan, Haimberger, Leopold, Laloyaux, Patrick, Martin, Matthew J., Fuentes, Manuel, Alonso-Balmaseda, Magdalena, Becker, Andreas, Blaschek, Michael, Dahlgren, Per, de Boisseson, Eric, Dee, Dick, Doutriaux-Boucher, Marie, Feng, Xiangbo, John, Viju O., Haines, Keith, Jourdain, Sylvie, Kosaka, Yuki, Lea, Daniel, Lemarié, Florian, Mayer, Michael, Messina, Palmira, Perruche, Coralie, Peylin, Philippe, Pullainen, Jounie, Rayner, Nick, Rustemeier, Elke, Schepers, Dinand, Saunders, Roger, Schulz, Jörg, Sterin, Alexander, Stichelberger, Sebastian, Storto, Andrea, Testut, Charles-Emmanuel, Valente, Maria-Antóonia, Vidard, Arthur, Vuichard, Nicolas, Weaver, Anthony, While, James, and Ziese, Markus

Published
2018

5. EMO-5: a high-resolution multi-variable gridded meteorological dataset for Europe

Author

Thiemig, Vera, primary, Gomes, Goncalo N., additional, Skøien, Jon O., additional, Ziese, Markus, additional, Rauthe-Schöch, Armin, additional, Rustemeier, Elke, additional, Rehfeldt, Kira, additional, Walawender, Jakub P., additional, Kolbe, Christine, additional, Pichon, Damien, additional, Schweim, Christoph, additional, and Salamon, Peter, additional

Published
2022
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7. Application of homogenization methods for Ireland's monthly precipitation records: Comparison of break detection results

Author

Coll, John, Domonkos, Peter, Guijarro, José, Curley, Mary, Rustemeier, Elke, Aguilar, Enric, Walsh, Séamus, Sweeney, John, Coll, John, Domonkos, Peter, Guijarro, José, Curley, Mary, Rustemeier, Elke, Aguilar, Enric, Walsh, Séamus, and Sweeney, John

Abstract

Time series homogenization for 299 of the available precipitation records for the island of Ireland (IENet) was performed. Four modern relative homogenization methods, that is, HOMER, ACMANT, CLIMATOL and AHOPS were applied to this network of station series where contiguous intact monthly records range from 30 to 70 years within the base period 1941–2010. Break detection results are compared between homogenization methods, and coincidences with available documentary information (metadata) were analysed. The lowest (highest) number of breaks were detected with HOMER (ACMANT). Large differences of break frequency were found, namely ACMANT and AHOPS detected 8 times as many breaks than HOMER, while the break frequency with CLIMATOL was intermediate. Also, the ratio of series classified to be homogeneous varies widely between the methods. It is 85% with HOMER, 60% with CLIMATOL, 31% with AHOPS, while only 22% with ACMANT. In a further experiment, all the available time series for Ireland and Northern Ireland, (910 series) were used with ACMANT and CLIMATOL to explore the stability of break frequency for the same 299 series examined in the base experiment. While overall break frequency slightly increased (by 6–13%), the break positions notably changed for individual time series. The number of breaks changed for 59% (23%) of the series with ACMANT (CLIMATOL). For the breaks detected coincidentally by at least three methods including ACMANT and CLIMATOL in the base experiment, the second experiment confirmed the break positions in 86–87% of the breaks. The consequences of these results in relation to the reliability of statistical homogenization are discussed. Sometimes markedly different step functions provide comparable good approaches. However, the accuracy of homogenized time series cannot be related directly to the instability of break detection results.

Published
2020

8. Precipitation trends in the island of Ireland using a dense, homogenized, observational dataset

Author

Domonkos, Peter, Coll, John, Guijarro, José, Curley, Mary, Rustemeier, Elke, Aguilar, Enric, Walsh, Séamus, Sweeney, John, Domonkos, Peter, Coll, John, Guijarro, José, Curley, Mary, Rustemeier, Elke, Aguilar, Enric, Walsh, Séamus, and Sweeney, John

Abstract

A dense monthly precipitation dataset of Ireland and Northern Ireland was homogenized with several modern homogenization methods. The efficiency of these homogenizations was tested by examining the similarity of homogenization results both in the real data homogenization and in the homogenization of a simulated dataset. The analysis of homogenization results shows that the real dataset is characterized by a large number of, but mostly small, non-climatic biases, and a moderate reduction of such biases can be achieved with homogenization. Finally, a combination of the ACMANT and Climatol homogenization results was applied to improve the data accuracy before the trend calculations. These two methods were selected for their proven high accuracy, missing data tolerance and ability to complete time series via the infilling of missing values before the trend calculations. Metadata were used within the Climatol method. To facilitate this analysis the study area was split into smaller climatic regions by using the Ward clustering method. Five climatic zones consistent with the known spatial patterns of precipitation in Ireland were established. Linear regression fitting and the Mann-Kendall test were applied. Low frequency fluctuations were also examined by applying a Gaussian filter. The results show that the precipitation amount generally increases in the study area, particularly in the northwestern region. The most significant increasing trends for the whole study period (1941–2010) are found for late winter and spring precipitation, as well as for the annual totals. In the period from the early 1970s the increase of precipitation is general in all seasons of the year except in winter, but the statistical significance of this increase is weak.

Published
2020

9. Rainfall estimates on a gridded network (REGEN) – a global land-based gridded dataset of daily precipitation from 1950 to 2016

Author

Barcelona Supercomputing Center, Contractor, Steefan, Donat, Markus ., Alexandre, Lisa V., Ziese, Markus, Meyer-Christoffer, Anja, Schneider, Udo, Rustemeier, Elke, Becker, Andreas, Durre, Imke, Vose, Russell S., Barcelona Supercomputing Center, Contractor, Steefan, Donat, Markus ., Alexandre, Lisa V., Ziese, Markus, Meyer-Christoffer, Anja, Schneider, Udo, Rustemeier, Elke, Becker, Andreas, Durre, Imke, and Vose, Russell S.

Abstract

We present a new global land-based daily precipitation dataset from 1950 using an interpolated network of in situ data called Rainfall Estimates on a Gridded Network – REGEN. We merged multiple archives of in situ data including two of the largest archives, the Global Historical Climatology Network – Daily (GHCN-Daily) hosted by National Centres of Environmental Information (NCEI), USA, and one hosted by the Global Precipitation Climatology Centre (GPCC) operated by Deutscher Wetterdienst (DWD). This resulted in an unprecedented station density compared to existing datasets. The station time series were quality-controlled using strict criteria and flagged values were removed. Remaining values were interpolated to create area-average estimates of daily precipitation for global land areas on a 1∘ × 1∘ latitude–longitude resolution. Besides the daily precipitation amounts, fields of standard deviation, kriging error and number of stations are also provided. We also provide a quality mask based on these uncertainty measures. For those interested in a dataset with lower station network variability we also provide a related dataset based on a network of long-term stations which interpolates stations with a record length of at least 40 years. The REGEN datasets are expected to contribute to the advancement of hydrological science and practice by facilitating studies aiming to understand changes and variability in several aspects of daily precipitation distributions, extremes and measures of hydrological intensity. Here we document the development of the dataset and guidelines for best practices for users with regards to the two datasets., This research has been supported by the Australian Research Council (grant nos. DP160103439, CE110001028 and DE150100456) and the Spanish Ministry for Science and Innovation (grant no. RYC-2017-22964), Peer Reviewed, Postprint (published version)

Published
2020

10. EMO-5: A high-resolution multi-variable gridded meteorological data set for Europe.

Author

Thiemig, Vera, Gomes, Goncalo N., Skøien, Jon O., Ziese, Markus, Rauthe-Schöch, Armin, Rustemeier, Elke, Rehfeldt, Kira, Walawender, Jakub P., Kolbe, Christine, Pichon, Damien, Schweim, Christoph, and Salamon, Peter

Subjects
METEOROLOGICAL stations, SPATIAL resolution, METEOROLOGICAL observations, EARTH stations, SOLAR radiation, WATER vapor
Abstract

In this paper we present EMO- 51, a European high-resolution, (sub-)daily, multi-variable meteorological data set built on historical and real-time observations obtained by integrating data from 18,964 ground weather stations, four high-resolution regional observational grids (i.e. CombiPrecip, ZAMG - INCA, EURO4M-APGD and CarpatClim) as well as one global reanalysis (ERA-Interim/Land). EMO-5 includes at daily resolution: total precipitation, temperatures (mean, minimum and maximum), wind speed, solar radiation and water vapour pressure. In addition, EMO-5 also makes available 6-hourly precipitation and mean temperature. The raw observations from the ground weather stations underwent a set of quality controls, before SPHEREMAP and Yamamoto interpolation methods were applied in order to estimate for each 5 x 5 km grid cell the variable value and its affiliated uncertainty, respectively. The quality of the EMO-5 precipitation data was evaluated through (1) comparison with two regional high resolution data sets (i.e. seNorge2 and seNorge2018), (2) analysis of 15 heavy precipitation events, and (3) examination of the interpolation uncertainty. Results show that EMO-5 successfully captured 80 % of the heavy precipitation events, and that it is of comparable quality to a regional high resolution data set. The availability of the uncertainty fields increases the transparency of the data set and hence the possible usage. EMO-5 (release 1) covers the time period from 1990 to 2019, with a near real-time release of the latest gridded observations foreseen soon. As a product of Copernicus, the EU's Earth observation programme, EMO-5 dataset is free and open, and can be accessed at https://doi.org/10.2905/ 0BD84BE4-CEC8-4180-97A6-8B3ADAAC4D26 (Thiemig et al., 2021).1 EMO stands for 'European Meteorological Observations', whereas the 5 denotes the spatial resolution of 5 km. [ABSTRACT FROM AUTHOR]

Published
2021
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11. State of the Climate in 2018

Author

Ades, M., Adler, R., Aldeco, Laura S., Alejandra, G., Alfaro, Eric J., Aliaga-Nestares, Vannia, Allan, Richard P., Allan, Rob, Alves, Lincoln M., Amador, Jorge A., Andersen, J. K., Anderson, John, Arndt, Derek S., Arosio, C., Arrigo, Kevin, Azorin-Molina, César, Bardin, M. Yu, Barichivich, Jonathan, Barreira, Sandra, Baxter, Stephen, Beck, H. E., Becker, Andreas, Bell, Gerald D., Bellouin, Nicolas, Belmont, M., Benedetti, Angela, Benedict, Imme, Bernhard, G. H., Berrisford, Paul, Berry, David I., Bettio, Lynette, Bhatt, U. S., Biskaborn, B. K., Bissolli, Peter, Bjella, Kevin L., Bjerke, J. K., Blake, Eric S., Blenkinsop, Stephen, Blunden, Jessica, Bock, Olivier, Bosilovich, Michael G., Boucher, Olivier, Box, J. E., Boyer, Tim, Braathen, Geir, Bringas, Francis G., Bromwich, David H., Brown, Alrick, Brown, R., Brown, Timothy J., Buehler, S. A., Cáceres, Luis, Calderón, Blanca, Camargo, Suzana J., Campbell, Jayaka D., Campos Diaz, Diego A., Cappelen, J., Carrea, Laura, Carrier, Seth B., Carter, Brendan R., Castro, Anabel Y., Cetinic, Ivona, Chambers, Don P., Chen, Lin, Cheng, Lijing, Cheng, Vincent Y.S., Christiansen, Hanne H., Christy, John R., Chung, E. S., Claus, Federico, Clem, Kyle R., Coelho, Caio A.S., Coldewey-Egbers, Melanie, Colwell, Steve, Cooper, Owen R., Cosca, Cathy, Covey, Curt, Coy, Lawrence, Dávila, Cristina P., Davis, Sean M., de Eyto, Elvira, de Jeu, Richard A.M., De Laat, Jos, Decharme, B., Degasperi, Curtis L., Degenstein, Doug, Demircan, Mesut, Derksen, C., Dhurmea, K. R., Di Girolamo, Larry, Diamond, Howard J., Diaz, Eliecer, Diniz, Fransisco A., Dlugokencky, Ed J., Dohan, Kathleen, Dokulil, Martin T., Dolman, A. Johannes, Domingues, Catia M., Domingues, Ricardo, Donat, Markus G., Dorigo, Wouter A., Drozdov, D. S., Druckenmiller, Matthew L., Dunn, Robert J.H., Durre, Imke, Dutton, Geoff S., Elkharrim, M., Elkins, James W., Epstein, H. E., Espinoza, Jhan C., Famiglietti, James S., Farrell, Sinead L., Fausto, R. S., Feely, Richard A., Feng, Z., Fenimore, Chris, Fettweis, X., Fioletov, Vitali E., Flemming, Johannes, Fogt, Ryan L., Forbes, B. C., Foster, Michael J., Francis, S. D., Franz, Bryan A., Frey, Richard A., Frith, Stacey M., Froidevaux, Lucien, Ganter, Catherine, Garforth, J., Gerland, Sebastian, Gilson, John, Gleason, Karin, Gobron, Nadine, Goetz, S., Goldenberg, Stanley B., Goni, Gustavo, Gray, Alison, Grooß, Jens Uwe, Gruber, Alexander, Gu, Guojun, Guard, Charles Chip P., Gupta, S. K., Gutiérrez, Dimitri, Haas, Christian, Hagos, S., Hahn, Sebastian, Haimberger, Leo, Hall, Brad D., Halpert, Michael S., Hamlington, Benjamin D., Hanna, E., Hanssen-Bauer, I., Harris, Ian, Hazeleger, Wilco, He, Q., Heidinger, Andrew K., Heim, Richard R., Hemming, D. L., Hendricks, Stefan, Hernández, Rafael, Hersbach, H. E., Hidalgo, Hugo G., Ho, Shu Peng Ben, Holmes, R. M., Hu, Chuanmin, Huang, Boyin, Hubbard, Katherine, Hubert, Daan, Hurst, Dale F., Ialongo, Iolanda, Ijampy, J. A., Inness, Antje, Isaac, Victor, Isaksen, K., Ishii, Masayoshi, Jeffries, Martin O., Jevrejeva, Svetlana, Jia, G., Jiménez, C., Jin, Xiangze, John, Viju, Johnsen, Bjørn, Johnson, Gregory C., Johnson, Kenneth S., Johnson, Bryan, Jones, Philip D., Jumaux, Guillaume, Kabidi, Khadija, Kaiser, J. W., Karaköylü, Erdem M., Karlsen, S. R., Karnauskas, Mandy, Kato, Seiji, Kazemi, A. Fazl, Kelble, Christopher, Keller, Linda M., Kennedy, John, Kholodov, A. L., Khoshkam, Mahbobeh, Kidd, R., Killick, Rachel, Kim, Hyungjun, Kim, S. J., King, A. D., King, Brian A., Kipling, Z., Klotzbach, Philip J., Knaff, John A., Korhonen, Johanna, Korshunova, Natalia N., Kramarova, Natalya A., Kratz, D. P., Kruger, Andries, Kruk, Michael C., Krumpen, Thomas, Labbé, L., Ladd, C., Lakatos, Mónika, Lakkala, Kaisa, Lander, Mark A., Landschützer, Peter, Landsea, Chris W., Lareau, Neil P., Lavado-Casimiro, Waldo, Lazzara, Matthew A., Lee, T. C., Leuliette, Eric, L’heureux, Michelle, Li, Bailing, Li, Tim, Lieser, Jan L., Lim, J. Y., Lin, I. I., Liu, Hongxing, Locarnini, Ricardo, Loeb, Norman G., Long, Craig S., López, Luis A., Lorrey, Andrew M., Loyola, Diego, Lumpkin, Rick, Luo, Jing Jia, Luojus, K., Lyman, John M., Malkova, G. V., Manney, Gloria L., Marchenko, S. S., Marengo, José A., Marin, Dora, Marquardt Collow, Allison B., Marra, John J., Marszelewski, Wlodzimierz, Martens, B., Martínez-Güingla, Rodney, Massom, Robert A., May, Linda, Mayer, Michael, Mazloff, Matthew, McBride, Charlotte, McCabe, M., McClelland, J. W., McEvoy, Daniel J., McGree, Simon, McVicar, Tim R., Mears, Carl A., Meier, Walt, Meijers, Andrew, Mekonnen, Ademe, Mengistu Tsidu, G., Menzel, W. Paul, Merchant, Christopher J., Meredith, Michael P., Merrifield, Mark A., Miller, Ben, Miralles, Diego G., Misevicius, Noelia, Mitchum, Gary T., Mochizuki, Y., Monselesan, Didier, Montzka, Stephen A., Mora, Natali, Morice, Colin, Mosquera-Vásquez, Kobi, Mostafa, Awatif E., Mote, T., Mudryk, L., Mühle, Jens, Mullan, A. Brett, Müller, Rolf, Myneni, R., Nash, Eric R., Nauslar, Nicholas J., Nerem, R. Steven, Newman, Paul A., Nicolas, Julien P., Nieto, Juan José, Noetzli, Jeannette, Osborn, Tim J., Osborne, Emily, Overland, J., Oyunjargal, Lamjav, Park, T., Pasch, Richard J., Pascual Ramírez, Reynaldo, Pastor Saavedra, Maria Asuncion, Paterson, Andrew M., Pearce, Petra R., Pelto, Mauri S., Perovich, Don, Petropavlovskikh, Irina, Pezza, Alexandre B., Phillips, C., Phillips, David, Phoenix, G., Pinty, Bernard, Pitts, Michael, Po-Chedley, S., Polashenski, Chris, Preimesberger, W., Purkey, Sarah G., Quispe, Nelson, Rajeevan, Madhavan, Rakotoarimalala, C. L., Ramos, Andrea M., Ramos, Isabel, Randel, W., Raynolds, M. K., Reagan, James, Reid, Phillip, Reimer, Christoph, Rémy, Samuel, Revadekar, Jayashree V., Richardson, A. D., Richter-Menge, Jacqueline, Ricker, Robert, Ripaldi, A., Robinson, David A., Rodell, Matthew, Rodriguez Camino, Ernesto, Romanovsky, Vladimir E., Ronchail, Josyane, Rosenlof, Karen H., Rösner, Benajamin, Roth, Chris, Rozanov, A., Rusak, James A., Rustemeier, Elke, Rutishäuser, T., Sallée, Jean Baptiste, Sánchez-Lugo, Ahira, Santee, Michelle L., Sawaengphokhai, P., Sayouri, Amal, Scambos, Ted A., Scanlon, T., Scardilli, Alvaro S., Schenzinger, Verena, Schladow, S. Geoffey, Schmid, Claudia, Schmid, Martin, Schoeneich, P., Schreck, Carl J., Selkirk, H. B., Sensoy, Serhat, Shi, Lei, Shiklomanov, A. I., Shiklomanov, Nikolai I., Shimpo, A., Shuman, Christopher A., Siegel, David A., Sima, Fatou, Simmons, Adrian J., Smeets, C. J.P.P., Smith, Adam, Smith, Sharon L., Soden, B., Sofieva, Viktoria, Sparks, T. H., Spence, Jacqueline, Spencer, R. G.M., Spillane, Sandra, Srivastava, A. K., Stabeno, P. J., Stackhouse, Paul W., Stammerjohn, Sharon, Stanitski, Diane M., Steinbrecht, Wolfgang, Stella, José L., Stengel, M., Stephenson, Tannecia S., Strahan, Susan E., Streeter, Casey, Streletskiy, Dimitri A., Sun-Mack, Sunny, Suslova, A., Sutton, Adrienne J., Swart, Sebastiann, Sweet, William, Takahashi, Kenneth S., Tank, S. E., Taylor, Michael A., Tedesco, M., Thackeray, S. J., Thompson, Philip R., Timbal, Bertrand, Timmermans, M. L., Tobin, Skie, Tømmervik, H., Tourpali, Kleareti, Trachte, Katja, Tretiakov, M., Trewin, Blair C., Triñanes, Joaquin A., Trotman, Adrian R., Tschudi, Mark, Tye, Mari R., van As, D., van de Wal, R. S.W., van der A, Ronald J., van der Schalie, Robin, van der Schrier, Gerard, van der Werf, Guido R., van Heerwaarden, Chiel, Van Meerbeeck, Cedric J., Verburg, Piet, Vieira, G., Vincent, Lucie A., Vömel, Holger, Vose, Russell S., Walker, D. A., Walsh, J. E., Wang, Bin, Wang, Hui, Wang, Lei, Wang, M., Wang, Mengqiu, Wang, Ray, Wang, Sheng Hung, Wanninkhof, Rik, Watanabe, Shohei, Weber, Mark, Webster, Melinda, Weerts, Albrecht, Weller, Robert A., Westberry, Toby K., Weyhenmeyer, Gesa A., Widlansky, Matthew J., Wijffels, Susan E., Wilber, Anne C., Wild, Jeanette D., Willett, Kate M., Wong, Takmeng, Wood, E. F., Woolway, R. Iestyn, Xue, Yan, Yin, Xungang, Yu, Lisan, Zambrano, Eduardo, Zeyaeyan, Sadegh, Zhang, Huai Min, Zhang, Peiqun, Zhao, Guanguo, Zhao, Lin, Zhou, Xinjia, Zhu, Zhiwei, Ziemke, Jerry R., Ziese, Markus, Andersen, Andrea, Griffin, Jessicca, Hammer, Gregory, Love-Brotak, S. Elizabeth, Misch, Deborah J., Riddle, Deborah B., Veasey, Sara W., Processus et interactions de fine échelle océanique (PROTEO), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Océan et variabilité du climat (VARCLIM), Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU), Berry, David, Jevrejeva, Svetlana, King, Brian, and Domingues, Catia

Subjects
Surface (mathematics), Atmospheric Science, Materials science, 010504 meteorology & atmospheric sciences, 0207 environmental engineering, Mineralogy, [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph], 02 engineering and technology, 01 natural sciences, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, SDG 13 - Climate Action, SDG 14 - Life Below Water, 020701 environmental engineering, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences
Abstract

In 2018, the dominant greenhouse gases released into Earth's atmosphere-carbon dioxide, methane, and nitrous oxide-continued their increase. The annual global average carbon dioxide concentration at Earth's surface was 407.4 ± 0.1 ppm, the highest in the modern instrumental record and in ice core records dating back 800 000 years. Combined, greenhouse gases and several halogenated gases contribute just over 3 W m−2 to radiative forcing and represent a nearly 43% increase since 1990. Carbon dioxide is responsible for about 65% of this radiative forcing. With a weak La Niña in early 2018 transitioning to a weak El Niño by the year's end, the global surface (land and ocean) temperature was the fourth highest on record, with only 2015 through 2017 being warmer. Several European countries reported record high annual temperatures. There were also more high, and fewer low, temperature extremes than in nearly all of the 68-year extremes record. Madagascar recorded a record daily temperature of 40.5°C in Morondava in March, while South Korea set its record high of 41.0°C in August in Hongcheon. Nawabshah, Pakistan, recorded its highest temperature of 50.2°C, which may be a new daily world record for April. Globally, the annual lower troposphere temperature was third to seventh highest, depending on the dataset analyzed. The lower stratospheric temperature was approximately fifth lowest. The 2018 Arctic land surface temperature was 1.2°C above the 1981-2010 average, tying for third highest in the 118-year record, following 2016 and 2017. June's Arctic snow cover extent was almost half of what it was 35 years ago. Across Greenland, however, regional summer temperatures were generally below or near average. Additionally, a satellite survey of 47 glaciers in Greenland indicated a net increase in area for the first time since records began in 1999. Increasing permafrost temperatures were reported at most observation sites in the Arctic, with the overall increase of 0.1°-0.2°C between 2017 and 2018 being comparable to the highest rate of warming ever observed in the region. On 17 March, Arctic sea ice extent marked the second smallest annual maximum in the 38-year record, larger than only 2017. The minimum extent in 2018 was reached on 19 September and again on 23 September, tying 2008 and 2010 for the sixth lowest extent on record. The 23 September date tied 1997 as the latest sea ice minimum date on record. First-year ice now dominates the ice cover, comprising 77% of the March 2018 ice pack compared to 55% during the 1980s. Because thinner, younger ice is more vulnerable to melting out in summer, this shift in sea ice age has contributed to the decreasing trend in minimum ice extent. Regionally, Bering Sea ice extent was at record lows for almost the entire 2017/18 ice season. For the Antarctic continent as a whole, 2018 was warmer than average. On the highest points of the Antarctic Plateau, the automatic weather station Relay (74°S) broke or tied six monthly temperature records throughout the year, with August breaking its record by nearly 8°C. However, cool conditions in the western Bellingshausen Sea and Amundsen Sea sector contributed to a low melt season overall for 2017/18. High SSTs contributed to low summer sea ice extent in the Ross and Weddell Seas in 2018, underpinning the second lowest Antarctic summer minimum sea ice extent on record. Despite conducive conditions for its formation, the ozone hole at its maximum extent in September was near the 2000-18 mean, likely due to an ongoing slow decline in stratospheric chlorine monoxide concentration. Across the oceans, globally averaged SST decreased slightly since the record El Niño year of 2016 but was still far above the climatological mean. On average, SST is increasing at a rate of 0.10° ± 0.01°C decade−1 since 1950. The warming appeared largest in the tropical Indian Ocean and smallest in the North Pacific. The deeper ocean continues to warm year after year. For the seventh consecutive year, global annual mean sea level became the highest in the 26-year record, rising to 81 mm above the 1993 average. As anticipated in a warming climate, the hydrological cycle over the ocean is accelerating: dry regions are becoming drier and wet regions rainier. Closer to the equator, 95 named tropical storms were observed during 2018, well above the 1981-2010 average of 82. Eleven tropical cyclones reached Saffir-Simpson scale Category 5 intensity. North Atlantic Major Hurricane Michael's landfall intensity of 140 kt was the fourth strongest for any continental U.S. hurricane landfall in the 168-year record. Michael caused more than 30 fatalities and $25 billion (U.S. dollars) in damages. In the western North Pacific, Super Typhoon Mangkhut led to 160 fatalities and $6 billion (U.S. dollars) in damages across the Philippines, Hong Kong, Macau, mainland China, Guam, and the Northern Mariana Islands. Tropical Storm Son-Tinh was responsible for 170 fatalities in Vietnam and Laos. Nearly all the islands of Micronesia experienced at least moderate impacts from various tropical cyclones. Across land, many areas around the globe received copious precipitation, notable at different time scales. Rodrigues and Réunion Island near southern Africa each reported their third wettest year on record. In Hawaii, 1262 mm precipitation at Waipā Gardens (Kauai) on 14-15 April set a new U.S. record for 24-h precipitation. In Brazil, the city of Belo Horizonte received nearly 75 mm of rain in just 20 minutes, nearly half its monthly average. Globally, fire activity during 2018 was the lowest since the start of the record in 1997, with a combined burned area of about 500 million hectares. This reinforced the long-term downward trend in fire emissions driven by changes in land use in frequently burning savannas. However, wildfires burned 3.5 million hectares across the United States, well above the 2000-10 average of 2.7 million hectares. Combined, U.S. wildfire damages for the 2017 and 2018 wildfire seasons exceeded $40 billion (U.S. dollars).

Published
2019
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12. Description of the COST - HOME monthly benchmark dataset and the submitted homogenized contributions

Author

Venema, Victor, Mestre, Olivier, Aguilar, Enric, Auer, Ingeborg, Guijarro, José, Domonkos, Peter, Vertacnik, Gregor, Szentimrey, Tamás, Stepanek, Petr, Zahradnicek, Pavel, Viarre, Julien, Müller-Westermeier, Gerhard, Lakatos, Monika, Williams, Claude, Menne, Matthew, Lindau, Ralf, Rasol, Dubravka, Rustemeier, Elke, Kolokythas, Kostas, Marinova, Tania, Andresen, Lars, Acquaotta, Fiorella, Fratianni, Simona, Cheval, Sorin, Klancar, Matija, Brunetti, Michele, Gruber, Christine, Duran, Marc, Likso, Tanja, Esteban, Pere, and Brandsma, Theo

Subjects
bepress|Physical Sciences and Mathematics, EarthArXiv|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology, bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology|Climate, Climate, bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics, EarthArXiv|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology|Climate, Oceanography and Atmospheric Sciences and Meteorology, EarthArXiv|Physical Sciences and Mathematics
Abstract

As part of the COST Action HOME a dataset has been generated that will serve as a benchmark for homogenisation algorithms. Members of the Action and third parties have been invited and are still welcome to homogenise this dataset. The results of this exercise was analysed to obtain recommendations for a standard homogenisation procedure and are described in Venema et al. (Climate of the Past, 2012). Chapter two discusses the generation of this benchmark dataset, the climate variables considered, which types of data are in the benchmark dataset, how they have been produced, the ways to introduce artificial inhomogeneities, and the additional specifications such as length, missing data and trends. This chapter is an updated version of a report (Venema et al., 2009), which was available to the participants. A draft for the properties of the benchmark was developed at a Working Group meeting and was approved by the Management Committee of the Cost Action. The homogenized data that was returned by the participant is described in Chapter 3. In total 25 contributions have been returned before the deadline at which the truth was revealed. Multiple late contributions, submitted after the deadline, are also described. The descriptions of the contributions were written by the respective participants.

Published
2018

14. CERA‐20C: A Coupled Reanalysis of the Twentieth Century

Author

Laloyaux, Patrick, primary, de Boisseson, Eric, additional, Balmaseda, Magdalena, additional, Bidlot, Jean‐Raymond, additional, Broennimann, Stefan, additional, Buizza, Roberto, additional, Dalhgren, Per, additional, Dee, Dick, additional, Haimberger, Leopold, additional, Hersbach, Hans, additional, Kosaka, Yuki, additional, Martin, Matthew, additional, Poli, Paul, additional, Rayner, Nick, additional, Rustemeier, Elke, additional, and Schepers, Dinand, additional

Published
2018
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