Articles | Volume 10, issue 10
https://doi.org/10.5194/gmd-10-3771-2017
https://doi.org/10.5194/gmd-10-3771-2017
Model description paper
 | 
16 Oct 2017
Model description paper |  | 16 Oct 2017

A globally calibrated scheme for generating daily meteorology from monthly statistics: Global-WGEN (GWGEN) v1.0

Philipp S. Sommer and Jed O. Kaplan

Related authors

The Eurasian Modern Pollen Database (EMPD), version 2
Basil A. S. Davis, Manuel Chevalier, Philipp Sommer, Vachel A. Carter, Walter Finsinger, Achille Mauri, Leanne N. Phelps, Marco Zanon, Roman Abegglen, Christine M. Åkesson, Francisca Alba-Sánchez, R. Scott Anderson, Tatiana G. Antipina, Juliana R. Atanassova, Ruth Beer, Nina I. Belyanina, Tatiana A. Blyakharchuk, Olga K. Borisova, Elissaveta Bozilova, Galina Bukreeva, M. Jane Bunting, Eleonora Clò, Daniele Colombaroli, Nathalie Combourieu-Nebout, Stéphanie Desprat, Federico Di Rita, Morteza Djamali, Kevin J. Edwards, Patricia L. Fall, Angelica Feurdean, William Fletcher, Assunta Florenzano, Giulia Furlanetto, Emna Gaceur, Arsenii T. Galimov, Mariusz Gałka, Iria García-Moreiras, Thomas Giesecke, Roxana Grindean, Maria A. Guido, Irina G. Gvozdeva, Ulrike Herzschuh, Kari L. Hjelle, Sergey Ivanov, Susanne Jahns, Vlasta Jankovska, Gonzalo Jiménez-Moreno, Monika Karpińska-Kołaczek, Ikuko Kitaba, Piotr Kołaczek, Elena G. Lapteva, Małgorzata Latałowa, Vincent Lebreton, Suzanne Leroy, Michelle Leydet, Darya A. Lopatina, José Antonio López-Sáez, André F. Lotter, Donatella Magri, Elena Marinova, Isabelle Matthias, Anastasia Mavridou, Anna Maria Mercuri, Jose Manuel Mesa-Fernández, Yuri A. Mikishin, Krystyna Milecka, Carlo Montanari, César Morales-Molino, Almut Mrotzek, Castor Muñoz Sobrino, Olga D. Naidina, Takeshi Nakagawa, Anne Birgitte Nielsen, Elena Y. Novenko, Sampson Panajiotidis, Nata K. Panova, Maria Papadopoulou, Heather S. Pardoe, Anna Pędziszewska, Tatiana I. Petrenko, María J. Ramos-Román, Cesare Ravazzi, Manfred Rösch, Natalia Ryabogina, Silvia Sabariego Ruiz, J. Sakari Salonen, Tatyana V. Sapelko, James E. Schofield, Heikki Seppä, Lyudmila Shumilovskikh, Normunds Stivrins, Philipp Stojakowits, Helena Svobodova Svitavska, Joanna Święta-Musznicka, Ioan Tantau, Willy Tinner, Kazimierz Tobolski, Spassimir Tonkov, Margarita Tsakiridou, Verushka Valsecchi, Oksana G. Zanina, and Marcelina Zimny
Earth Syst. Sci. Data, 12, 2423–2445, https://doi.org/10.5194/essd-12-2423-2020,https://doi.org/10.5194/essd-12-2423-2020, 2020
Short summary
Computing climate-smart urban land use with the Integrated Urban Complexity model (IUCm 1.0)
Roger Cremades and Philipp S. Sommer
Geosci. Model Dev., 12, 525–539, https://doi.org/10.5194/gmd-12-525-2019,https://doi.org/10.5194/gmd-12-525-2019, 2019
Short summary

Related subject area

Climate and Earth system modeling
A radiative–convective model computing precipitation with the maximum entropy production hypothesis
Quentin Pikeroen, Didier Paillard, and Karine Watrin
Geosci. Model Dev., 17, 3801–3814, https://doi.org/10.5194/gmd-17-3801-2024,https://doi.org/10.5194/gmd-17-3801-2024, 2024
Short summary
Leveraging regional mesh refinement to simulate future climate projections for California using the Simplified Convection-Permitting E3SM Atmosphere Model Version 0
Jishi Zhang, Peter Bogenschutz, Qi Tang, Philip Cameron-smith, and Chengzhu Zhang
Geosci. Model Dev., 17, 3687–3731, https://doi.org/10.5194/gmd-17-3687-2024,https://doi.org/10.5194/gmd-17-3687-2024, 2024
Short summary
Machine learning parameterization of the multi-scale Kain–Fritsch (MSKF) convection scheme and stable simulation coupled in the Weather Research and Forecasting (WRF) model using WRF–ML v1.0
Xiaohui Zhong, Xing Yu, and Hao Li
Geosci. Model Dev., 17, 3667–3685, https://doi.org/10.5194/gmd-17-3667-2024,https://doi.org/10.5194/gmd-17-3667-2024, 2024
Short summary
Impacts of spatial heterogeneity of anthropogenic aerosol emissions in a regionally refined global aerosol–climate model
Taufiq Hassan, Kai Zhang, Jianfeng Li, Balwinder Singh, Shixuan Zhang, Hailong Wang, and Po-Lun Ma
Geosci. Model Dev., 17, 3507–3532, https://doi.org/10.5194/gmd-17-3507-2024,https://doi.org/10.5194/gmd-17-3507-2024, 2024
Short summary
cfr (v2024.1.26): a Python package for climate field reconstruction
Feng Zhu, Julien Emile-Geay, Gregory J. Hakim, Dominique Guillot, Deborah Khider, Robert Tardif, and Walter A. Perkins
Geosci. Model Dev., 17, 3409–3431, https://doi.org/10.5194/gmd-17-3409-2024,https://doi.org/10.5194/gmd-17-3409-2024, 2024
Short summary

Cited articles

Bennett, J. C., Robertson, D. E., Ward, P. G., Hapuarachchi, H. P., and Wang, Q.: Calibrating hourly rainfall–runoff models with daily forcings for streamflow forecasting applications in meso-scale catchments, Environ. Model. Softw., 76, 20–36, https://doi.org/10.1016/j.envsoft.2015.11.006, 2016.
Bondeau, A., Smith, P. C., Zaehle, S., Schaphoff, S., Lucht, W., Cramer, W., Gerten, D., Lotze-Campen, H., Müller, C., Reichstein, M., and Smith, B.: Modelling the role of agriculture for the 20th century global terrestrial carbon balance, Global Change Biol., 13, 679–706, https://doi.org/10.1111/j.1365-2486.2006.01305.x, 2007.
Cesaraccio, C., Spano, D., Duce, P., and Snyder, R. L.: An improved model for determining degree-day values from daily temperature data, Int. J. Biometeorol., 5, 161–169, https://doi.org/10.1007/s004840100104, 2001.
Dai, A.: Precipitation Characteristics in Eighteen Coupled Climate Models, J. Climate, 19, 4605–4630, https://doi.org/10.1175/jcli3884.1, 2006.
Download
Short summary
We present GWGEN, a computer program for converting monthly climate data into estimates of daily weather, using statistical methods. The GWGEN weather generator program was developed using a global database of more than 5 million observations of daily weather, and it simulates daily values of minimum and maximum temperature, precipitation, cloud cover, and wind speed. GWGEN may be used in a range of applications, for example, in global vegetation, crop, soil erosion, or hydrological models.