Introduction to CAUSES: Description of weather and climate models and their near-surface temperature errors in 5-day hindcasts near the Southern Great Plains

Publication Date:
2018-02-17
Publisher:
Wiley-Blackwell
Print ISSN:
0148-0227
Topics:
Geosciences
Physics
Published by:
http://www.wiley.com/wiley-blackwell
_version_ 1836398799245803521
autor C. J. Morcrette, K. Van Weverberg, H.-Y. Ma, M. Ahlgrimm, E. Bazile, L. K. Berg, A. Cheng, F. Cheruy, J. Cole, R. Forbes, W. I. Gustafson Jr, M. Huang, W.-S. Lee, Y. Liu, L. Mellul, W. Merryfield, Y. Qian, R. Roehrig, Y.-C. Wang, S. Xie, K.-M. Xu, C. Zhang, S. Klein, J. Petch
beschreibung We introduce the Clouds Above the United States and Errors at the Surface (CAUSES) project with its aim of better understanding the physical processes leading to warm screen-temperature biases over the American Midwest in many numerical models. In this first of four companion papers, 11 different models, from 9 institutes, perform a series of 5-day hindcasts, each initialised from reanalyses. After describing the common experimental protocol and detailing each model configuration, a gridded temperature data set is derived from observations and used to show that all the models have a warm bias over parts of the Midwest. Additionally, a strong diurnal cycle in the screen-temperature bias is found in most models. In some models the bias is largest around midday, while in others it is largest during the night. At the Department of Energy Atmospheric Radiation Measurement Southern Great Plains (SGP) site, the model biases are shown to extend several kilometers into the atmosphere. Finally, to provide context for the companion papers, in which observations from the SGP site are used to evaluate the different processes contributing to errors there, it is shown that there are numerous locations across the Midwest where the diurnal cycle of the error is highly correlated with the diurnal cycle of the error at SGP. This suggests that conclusions drawn from detailed evaluation of models using instruments located at SGP will be representative of errors that are prevalent over a larger spatial scale.
citation_standardnr 6167650
datenlieferant ipn_articles
feed_copyright American Geophysical Union (AGU)
feed_copyright_url http://www.agu.org/
feed_id 7528
feed_publisher Wiley-Blackwell
feed_publisher_url http://www.wiley.com/wiley-blackwell
insertion_date 2018-02-17
journalissn 0148-0227
publikationsjahr_anzeige 2018
publikationsjahr_facette 2018
publikationsjahr_intervall 7984:2015-2019
publikationsjahr_sort 2018
publisher Wiley-Blackwell
quelle Journal of Geophysical Research JGR - Atmospheres
relation http://onlinelibrary.wiley.com/resolve/doi?DOI=10.1002%2F2017JD027199
search_space articles
shingle_author_1 C. J. Morcrette, K. Van Weverberg, H.-Y. Ma, M. Ahlgrimm, E. Bazile, L. K. Berg, A. Cheng, F. Cheruy, J. Cole, R. Forbes, W. I. Gustafson Jr, M. Huang, W.-S. Lee, Y. Liu, L. Mellul, W. Merryfield, Y. Qian, R. Roehrig, Y.-C. Wang, S. Xie, K.-M. Xu, C. Zhang, S. Klein, J. Petch
shingle_author_2 C. J. Morcrette, K. Van Weverberg, H.-Y. Ma, M. Ahlgrimm, E. Bazile, L. K. Berg, A. Cheng, F. Cheruy, J. Cole, R. Forbes, W. I. Gustafson Jr, M. Huang, W.-S. Lee, Y. Liu, L. Mellul, W. Merryfield, Y. Qian, R. Roehrig, Y.-C. Wang, S. Xie, K.-M. Xu, C. Zhang, S. Klein, J. Petch
shingle_author_3 C. J. Morcrette, K. Van Weverberg, H.-Y. Ma, M. Ahlgrimm, E. Bazile, L. K. Berg, A. Cheng, F. Cheruy, J. Cole, R. Forbes, W. I. Gustafson Jr, M. Huang, W.-S. Lee, Y. Liu, L. Mellul, W. Merryfield, Y. Qian, R. Roehrig, Y.-C. Wang, S. Xie, K.-M. Xu, C. Zhang, S. Klein, J. Petch
shingle_author_4 C. J. Morcrette, K. Van Weverberg, H.-Y. Ma, M. Ahlgrimm, E. Bazile, L. K. Berg, A. Cheng, F. Cheruy, J. Cole, R. Forbes, W. I. Gustafson Jr, M. Huang, W.-S. Lee, Y. Liu, L. Mellul, W. Merryfield, Y. Qian, R. Roehrig, Y.-C. Wang, S. Xie, K.-M. Xu, C. Zhang, S. Klein, J. Petch
shingle_catch_all_1 Introduction to CAUSES: Description of weather and climate models and their near-surface temperature errors in 5-day hindcasts near the Southern Great Plains
We introduce the Clouds Above the United States and Errors at the Surface (CAUSES) project with its aim of better understanding the physical processes leading to warm screen-temperature biases over the American Midwest in many numerical models. In this first of four companion papers, 11 different models, from 9 institutes, perform a series of 5-day hindcasts, each initialised from reanalyses. After describing the common experimental protocol and detailing each model configuration, a gridded temperature data set is derived from observations and used to show that all the models have a warm bias over parts of the Midwest. Additionally, a strong diurnal cycle in the screen-temperature bias is found in most models. In some models the bias is largest around midday, while in others it is largest during the night. At the Department of Energy Atmospheric Radiation Measurement Southern Great Plains (SGP) site, the model biases are shown to extend several kilometers into the atmosphere. Finally, to provide context for the companion papers, in which observations from the SGP site are used to evaluate the different processes contributing to errors there, it is shown that there are numerous locations across the Midwest where the diurnal cycle of the error is highly correlated with the diurnal cycle of the error at SGP. This suggests that conclusions drawn from detailed evaluation of models using instruments located at SGP will be representative of errors that are prevalent over a larger spatial scale.
C. J. Morcrette, K. Van Weverberg, H.-Y. Ma, M. Ahlgrimm, E. Bazile, L. K. Berg, A. Cheng, F. Cheruy, J. Cole, R. Forbes, W. I. Gustafson Jr, M. Huang, W.-S. Lee, Y. Liu, L. Mellul, W. Merryfield, Y. Qian, R. Roehrig, Y.-C. Wang, S. Xie, K.-M. Xu, C. Zhang, S. Klein, J. Petch
Wiley-Blackwell
0148-0227
01480227
shingle_catch_all_2 Introduction to CAUSES: Description of weather and climate models and their near-surface temperature errors in 5-day hindcasts near the Southern Great Plains
We introduce the Clouds Above the United States and Errors at the Surface (CAUSES) project with its aim of better understanding the physical processes leading to warm screen-temperature biases over the American Midwest in many numerical models. In this first of four companion papers, 11 different models, from 9 institutes, perform a series of 5-day hindcasts, each initialised from reanalyses. After describing the common experimental protocol and detailing each model configuration, a gridded temperature data set is derived from observations and used to show that all the models have a warm bias over parts of the Midwest. Additionally, a strong diurnal cycle in the screen-temperature bias is found in most models. In some models the bias is largest around midday, while in others it is largest during the night. At the Department of Energy Atmospheric Radiation Measurement Southern Great Plains (SGP) site, the model biases are shown to extend several kilometers into the atmosphere. Finally, to provide context for the companion papers, in which observations from the SGP site are used to evaluate the different processes contributing to errors there, it is shown that there are numerous locations across the Midwest where the diurnal cycle of the error is highly correlated with the diurnal cycle of the error at SGP. This suggests that conclusions drawn from detailed evaluation of models using instruments located at SGP will be representative of errors that are prevalent over a larger spatial scale.
C. J. Morcrette, K. Van Weverberg, H.-Y. Ma, M. Ahlgrimm, E. Bazile, L. K. Berg, A. Cheng, F. Cheruy, J. Cole, R. Forbes, W. I. Gustafson Jr, M. Huang, W.-S. Lee, Y. Liu, L. Mellul, W. Merryfield, Y. Qian, R. Roehrig, Y.-C. Wang, S. Xie, K.-M. Xu, C. Zhang, S. Klein, J. Petch
Wiley-Blackwell
0148-0227
01480227
shingle_catch_all_3 Introduction to CAUSES: Description of weather and climate models and their near-surface temperature errors in 5-day hindcasts near the Southern Great Plains
We introduce the Clouds Above the United States and Errors at the Surface (CAUSES) project with its aim of better understanding the physical processes leading to warm screen-temperature biases over the American Midwest in many numerical models. In this first of four companion papers, 11 different models, from 9 institutes, perform a series of 5-day hindcasts, each initialised from reanalyses. After describing the common experimental protocol and detailing each model configuration, a gridded temperature data set is derived from observations and used to show that all the models have a warm bias over parts of the Midwest. Additionally, a strong diurnal cycle in the screen-temperature bias is found in most models. In some models the bias is largest around midday, while in others it is largest during the night. At the Department of Energy Atmospheric Radiation Measurement Southern Great Plains (SGP) site, the model biases are shown to extend several kilometers into the atmosphere. Finally, to provide context for the companion papers, in which observations from the SGP site are used to evaluate the different processes contributing to errors there, it is shown that there are numerous locations across the Midwest where the diurnal cycle of the error is highly correlated with the diurnal cycle of the error at SGP. This suggests that conclusions drawn from detailed evaluation of models using instruments located at SGP will be representative of errors that are prevalent over a larger spatial scale.
C. J. Morcrette, K. Van Weverberg, H.-Y. Ma, M. Ahlgrimm, E. Bazile, L. K. Berg, A. Cheng, F. Cheruy, J. Cole, R. Forbes, W. I. Gustafson Jr, M. Huang, W.-S. Lee, Y. Liu, L. Mellul, W. Merryfield, Y. Qian, R. Roehrig, Y.-C. Wang, S. Xie, K.-M. Xu, C. Zhang, S. Klein, J. Petch
Wiley-Blackwell
0148-0227
01480227
shingle_catch_all_4 Introduction to CAUSES: Description of weather and climate models and their near-surface temperature errors in 5-day hindcasts near the Southern Great Plains
We introduce the Clouds Above the United States and Errors at the Surface (CAUSES) project with its aim of better understanding the physical processes leading to warm screen-temperature biases over the American Midwest in many numerical models. In this first of four companion papers, 11 different models, from 9 institutes, perform a series of 5-day hindcasts, each initialised from reanalyses. After describing the common experimental protocol and detailing each model configuration, a gridded temperature data set is derived from observations and used to show that all the models have a warm bias over parts of the Midwest. Additionally, a strong diurnal cycle in the screen-temperature bias is found in most models. In some models the bias is largest around midday, while in others it is largest during the night. At the Department of Energy Atmospheric Radiation Measurement Southern Great Plains (SGP) site, the model biases are shown to extend several kilometers into the atmosphere. Finally, to provide context for the companion papers, in which observations from the SGP site are used to evaluate the different processes contributing to errors there, it is shown that there are numerous locations across the Midwest where the diurnal cycle of the error is highly correlated with the diurnal cycle of the error at SGP. This suggests that conclusions drawn from detailed evaluation of models using instruments located at SGP will be representative of errors that are prevalent over a larger spatial scale.
C. J. Morcrette, K. Van Weverberg, H.-Y. Ma, M. Ahlgrimm, E. Bazile, L. K. Berg, A. Cheng, F. Cheruy, J. Cole, R. Forbes, W. I. Gustafson Jr, M. Huang, W.-S. Lee, Y. Liu, L. Mellul, W. Merryfield, Y. Qian, R. Roehrig, Y.-C. Wang, S. Xie, K.-M. Xu, C. Zhang, S. Klein, J. Petch
Wiley-Blackwell
0148-0227
01480227
shingle_title_1 Introduction to CAUSES: Description of weather and climate models and their near-surface temperature errors in 5-day hindcasts near the Southern Great Plains
shingle_title_2 Introduction to CAUSES: Description of weather and climate models and their near-surface temperature errors in 5-day hindcasts near the Southern Great Plains
shingle_title_3 Introduction to CAUSES: Description of weather and climate models and their near-surface temperature errors in 5-day hindcasts near the Southern Great Plains
shingle_title_4 Introduction to CAUSES: Description of weather and climate models and their near-surface temperature errors in 5-day hindcasts near the Southern Great Plains
timestamp 2025-06-30T23:32:49.513Z
titel Introduction to CAUSES: Description of weather and climate models and their near-surface temperature errors in 5-day hindcasts near the Southern Great Plains
titel_suche Introduction to CAUSES: Description of weather and climate models and their near-surface temperature errors in 5-day hindcasts near the Southern Great Plains
topic TE-TZ
U
uid ipn_articles_6167650