edu.ucar.opensky::articles:26989 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T19:23:43.476609 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7s46x3f https://doi.org/10.24381/cds.bd0915c6 https Related Dataset #1 ERA5 hourly data on pressure levels from 1940 to present https://doi.org/10.5281/zenodo.7714755 https Related JournalArticle #1 Codes and model outputs for "Assimilation of the microwave temperature sounder observations into a global climate model using the ensemble Kalman Filter" https://doi.org/10.5281/zenodo.7983459 https Related JournalArticle #2 [Version 2] Model outputs for "Assimilation of the microwave temperature sounder observations into a global climate model using the ensemble Kalman Filter" Assimilation of the AMSU-A radiances using the CESM (v2.1.0) and the DART (v9.11.13)–RTTOV (v12.3) 2023-09-19T00:00:00Z publication https://n2t.org/ark:/85065/d7s46x3f https://doi.org/10.5194/gmd-16-5365-2023 Noh, Y. author Choi, Y. author Song, H. author Raeder, Kevin D. author Kim, J. author Kwon, Y. author UCAR/NCAR - Library publisher To improve the initial condition ("analysis") for numerical weather prediction, we attempt to assimilate observations from the Advanced Microwave Sounding Unit-A (AMSU-A) on board the low-Earth-orbiting satellites. The data assimilation system, used in this study, consists of the Data Assimilation Research Testbed (DART) and the Community Earth System Model as the global forecast model. Based on the ensemble Kalman filter scheme, DART supports the radiative transfer model that is used to simulate the satellite radiances from the model state. To make the AMSU-A data available to be assimilated in DART, preprocessing modules are developed, which consist of quality control, spatial thinning, and bias correction processes. In the quality control, two sub-processes are included, outlier test and channel selection, depending on the cloud condition and surface type. The bias correction process is divided into scan-bias correction and air-mass-bias correction. Like input data used in DART, the observation errors are also estimated for the AMSU-A channels. In the trial experiments, a positive analysis impact is obtained by assimilating the AMSU-A observations on top of the DART data assimilation system that already makes use of the conventional measurements. In particular, the analysis errors are significantly reduced in the whole troposphere and lower stratosphere over the Northern Hemisphere. Overall, this study demonstrates a positive impact on the analysis when the AMSU-A observations are assimilated in the DART assimilation system. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. None eng geoscientificInformation