TY - JOUR
T1 - Assimilation of Ionosphere Observations in the Whole Atmosphere Community Climate Model with Thermosphere-Ionosphere EXtension (WACCMX)
AU - Pedatella, N. M.
AU - Anderson, J. L.
AU - Chen, C. H.
AU - Raeder, K.
AU - Liu, J.
AU - Liu, H. L.
AU - Lin, C. H.
N1 - Funding Information:
We would like to acknowledge high‐performance computing support from Cheyenne ( https://doi.org/10.5065/D6RX99HX ) provided by NCAR's Computational and Information Systems Laboratory. This material is based upon work supported by the National Center for Atmospheric Research, which is a major facility sponsored by the U.S. National Science Foundation under Cooperative Agreement 1852977. N. P. acknowledges support from National Science Foundation Grant AGS‐1522830 and AFOSR Grant FA9550‐16‐1‐0050. C. H. was supported by Ministry of Science and Technology (MOST) and National Space Organization (NSPO) of Taiwan to National Cheng Kung University under MOST‐107‐2111‐M‐006‐002‐MY3, MOST‐108‐2621‐M‐006‐014, and NSPO‐S‐109059. J. L. is supported by the Strategic Priority Research Program of Chinese Academy of Sciences, Grant XDB 41000000.
Funding Information:
We would like to acknowledge high-performance computing support from Cheyenne (https://doi.org/10.5065/D6RX99HX) provided by NCAR's Computational and Information Systems Laboratory. This material is based upon work supported by the National Center for Atmospheric Research, which is a major facility sponsored by the U.S. National Science Foundation under Cooperative Agreement 1852977. N.?P. acknowledges support from National Science Foundation Grant AGS-1522830 and AFOSR Grant FA9550-16-1-0050. C.?H. was supported by Ministry of Science and Technology (MOST) and National Space Organization (NSPO) of Taiwan to National Cheng Kung University under MOST-107-2111-M-006-002-MY3, MOST-108-2621-M-006-014, and NSPO-S-109059. J.?L. is supported by the Strategic Priority Research Program of Chinese Academy of Sciences, Grant XDB 41000000.
Publisher Copyright:
©2020. American Geophysical Union. All Rights Reserved.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - A set of Observing System Simulation Experiments (OSSEs) are performed to assess the impact of assimilating Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) electron density profiles and ground-based Global Navigation Satellite System (GNSS) total electron content (TEC) observations in a whole atmosphere data assimilation system. The OSSEs are performed using the Whole Atmosphere Community Climate Model with thermosphere-ionosphere eXtension (WACCMX) with data assimilation provided by the Data Assimilation Research Testbed (DART) ensemble adjustment Kalman filter. Results from the OSSEs demonstrate that the assimilation of ionosphere observations improves the short-term (1 hr) forecasts and analyses. The OSSEs show that the short-term forecasts and analyses are further improved when the ionosphere observations adjust the thermosphere neutral composition and temperature in addition to the ionosphere electron density. Based on an initialized forecast experiment, we find that adjusting the thermosphere neutral composition and temperature also leads to improved forecast skill in the ionosphere on longer time scales (i.e., beyond 1 hr). Additionally, it is shown that using a 1 hr data assimilation cycle, and removal of second-order divergence damping in WACCMX+DART significantly improves tidal amplitudes, which were previously found to be too small. These initial results represent the first whole atmosphere data assimilation system with capabilities to assimilate observations from the troposphere to the ionosphere-thermosphere.
AB - A set of Observing System Simulation Experiments (OSSEs) are performed to assess the impact of assimilating Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) electron density profiles and ground-based Global Navigation Satellite System (GNSS) total electron content (TEC) observations in a whole atmosphere data assimilation system. The OSSEs are performed using the Whole Atmosphere Community Climate Model with thermosphere-ionosphere eXtension (WACCMX) with data assimilation provided by the Data Assimilation Research Testbed (DART) ensemble adjustment Kalman filter. Results from the OSSEs demonstrate that the assimilation of ionosphere observations improves the short-term (1 hr) forecasts and analyses. The OSSEs show that the short-term forecasts and analyses are further improved when the ionosphere observations adjust the thermosphere neutral composition and temperature in addition to the ionosphere electron density. Based on an initialized forecast experiment, we find that adjusting the thermosphere neutral composition and temperature also leads to improved forecast skill in the ionosphere on longer time scales (i.e., beyond 1 hr). Additionally, it is shown that using a 1 hr data assimilation cycle, and removal of second-order divergence damping in WACCMX+DART significantly improves tidal amplitudes, which were previously found to be too small. These initial results represent the first whole atmosphere data assimilation system with capabilities to assimilate observations from the troposphere to the ionosphere-thermosphere.
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U2 - 10.1029/2020JA028251
DO - 10.1029/2020JA028251
M3 - Article
AN - SCOPUS:85092568317
SN - 2169-9402
VL - 125
JO - Journal of Geophysical Research: Space Physics
JF - Journal of Geophysical Research: Space Physics
IS - 9
M1 - e2020JA028251
ER -