Articles | Volume 8, issue 10
https://doi.org/10.5194/amt-8-4231-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-4231-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Oct 2015
Research article |
| 14 Oct 2015
Impacts of AMSU-A, MHS and IASI data assimilation on temperature and humidity forecasts with GSI–WRF over the western United States
Y. Bao
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, China
Global Environment and Natural Resources Institute, College of Science, George Mason University, Fairfax, Virginia, USA
J. Xu
CORRESPONDING AUTHOR
Global Environment and Natural Resources Institute, College of Science, George Mason University, Fairfax, Virginia, USA
A. M. Powell Jr.
NOAA Center for Satellite Applications and Research (STAR), College Park, Maryland, USA
M. Shao
Global Environment and Natural Resources Institute, College of Science, George Mason University, Fairfax, Virginia, USA
J. Min
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, China
Y. Pan
School of Atmospheric Science, Nanjing University, Nanjing, China
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Cited
12 citations as recorded by crossref.
- Preliminary Evaluation of FY-3E Microwave Temperature Sounder Performance Based on Observation Minus Simulation X. Qian et al.
- A method for retrieving clouds with satellite infrared radiances using the particle filter D. Xu et al.
- FY-3E MWHS-2 radiance assimilation within a three-orbit satellite constellation: A framework to improve rainfall prediction in operational NWP for East Africa P. Othoo et al.
- An Improved IASI Temperature and Humidity Retrieval Method Based on Double Channel Differences X. Cui et al.
- Hourly assimilation of different sources of observations including satellite radiances in a mesoscale convective system case during RELAMPAGO campaign P. Corrales et al.
- Assimilating MWTS-2, ATMS, and AMSU-A Radiances for Rainfall Forecast in an Operational East African NWP System P. Othoo et al.
- Assessment of the impact of atmospheric aerosols and meteorological data assimilation on simulation of the weather over India during summer 2015 S. Devaliya et al.
- Impact of All-Sky Assimilation of Multichannel Observations from Fengyun-3F MWHS-II on Typhoon Forecasting T. Wang et al.
- Impact of assimilating multi-source observations on meteorological and PM2.5 forecast over Central China J. Liu et al.
- Joint 1DVar retrievals of tropospheric temperature and water vapor from Global Navigation Satellite System radio occultation (GNSS-RO) and microwave radiometer observations K. Wang et al.
- A Modified Limb Correction Algorithm for the Microwave Temperature Sounder of FY Polar-Orbiting Satellites X. Qian et al.
- Comprehensive Assessment of AIRS, TSHS, and VASS Temperature Profile Products in the Arctic Land Region R. Fan et al.
12 citations as recorded by crossref.
- Preliminary Evaluation of FY-3E Microwave Temperature Sounder Performance Based on Observation Minus Simulation X. Qian et al.
- A method for retrieving clouds with satellite infrared radiances using the particle filter D. Xu et al.
- FY-3E MWHS-2 radiance assimilation within a three-orbit satellite constellation: A framework to improve rainfall prediction in operational NWP for East Africa P. Othoo et al.
- An Improved IASI Temperature and Humidity Retrieval Method Based on Double Channel Differences X. Cui et al.
- Hourly assimilation of different sources of observations including satellite radiances in a mesoscale convective system case during RELAMPAGO campaign P. Corrales et al.
- Assimilating MWTS-2, ATMS, and AMSU-A Radiances for Rainfall Forecast in an Operational East African NWP System P. Othoo et al.
- Assessment of the impact of atmospheric aerosols and meteorological data assimilation on simulation of the weather over India during summer 2015 S. Devaliya et al.
- Impact of All-Sky Assimilation of Multichannel Observations from Fengyun-3F MWHS-II on Typhoon Forecasting T. Wang et al.
- Impact of assimilating multi-source observations on meteorological and PM2.5 forecast over Central China J. Liu et al.
- Joint 1DVar retrievals of tropospheric temperature and water vapor from Global Navigation Satellite System radio occultation (GNSS-RO) and microwave radiometer observations K. Wang et al.
- A Modified Limb Correction Algorithm for the Microwave Temperature Sounder of FY Polar-Orbiting Satellites X. Qian et al.
- Comprehensive Assessment of AIRS, TSHS, and VASS Temperature Profile Products in the Arctic Land Region R. Fan et al.
Saved (final revised paper)
Latest update: 26 Apr 2026
Short summary
The regional GSI-WRF system is underestimating the observed temperature in the LT and overestimating in the UT and LS. The microwave (MW) data assimilation (DA) reduced the forecast bias from the MT to the LS within 30-hour forecasts, and the conventional (CON) DA kept a smaller forecast bias in the LT for 2-day forecasts.
The smallest bias in the humidity forecast occurred at the surface and in the UT. The DA experiments apparently reduced the bias from the LT to UT, especially for the IR DA.
The regional GSI-WRF system is underestimating the observed temperature in the LT and...
