Satellite Radiance Data Assimilation Using the WRF-3DVAR System for Tropical Storm Dianmu (2021) Forecasts
Abstract
:1. Introduction
2. Brief Description of Tropical Storm Dianmu, 2021
3. Methodology and Data
3.1. Forecast Model
3.2. Experimental Setup
3.3. Data Used
3.4. Assimilation Methodology
4. Results and Discussions
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Observation | Platform | Assimilation Parameters |
---|---|---|
Upper air | PILOT, SOUND | |
Land surface | SYNOP, METAR | |
Marine surface | SHIP | |
Satellite | GEOAMV, QuikSCAT |
Name of the Experimental Setup | Data Used in the Assimilation |
---|---|
CNTL | Mentioned in Table 1 |
RDA1 | CNTL + AMSU-A+ATMS |
RDA2 | CNTL + HIRS-4 |
ALL-OBS | CNTL + AMSU-A+ATMS+HIRS-4 |
Channel Number | AMSU-A Frequency (GHz) | ATMS Frequency (GHz) | HIRS-4 Frequency (GHz) |
---|---|---|---|
1 | 23.80 | 23.80 | 669 |
2 | 31.80 | 31.40 | 680 |
3 | 50.30 | 50.3 | 690 |
4 | 52.80 | 51.76 | 703 |
5 | 53.596 ± 0.115 | 52.8 | 716 |
6 | 54.40 | 53.596 ± 0.115 | 733 |
7 | 54.94 | 54.40 | 749 |
8 | 54.94 | 54.94 | 900 |
9 | 57.290 | 54.94 | 1030 |
10 | 57.290 | 57.290 | 802 |
11 | 57.290 ± 0.3222 ± 0.048 | 57.290 | 1365 |
12 | 57.290 ± 0.3222 ± 0.022 | 57.290 ± 0.3222 ± 0.048 | 1533 |
13 | 57.290 ± 0.3222 ± 0.010 | 57.290 ± 0.3222 ± 0.022 | 2188 |
14 | 57.290 ± 0.3222 ± 0.0045 | 57.290 ± 0.3222 ± 0.010 | 2210 |
15 | 89.0 | 57.290 ± 0.3222 ± 0.0045 | 2235 |
16 | 88.2 | ||
17 | 165.6 | ||
18 | 183.31 ± 7.0 | ||
19 | 183.31 ± 4.5 | ||
20 | 183.31 ± 3.0 | ||
21 | 183.31 ± 1.8 | ||
22 | 183.31 ± 1.0 |
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Thodsan, T.; Wu, F.; Torsri, K.; Cuestas, E.M.A.; Yang, G. Satellite Radiance Data Assimilation Using the WRF-3DVAR System for Tropical Storm Dianmu (2021) Forecasts. Atmosphere 2022, 13, 956. https://doi.org/10.3390/atmos13060956
Thodsan T, Wu F, Torsri K, Cuestas EMA, Yang G. Satellite Radiance Data Assimilation Using the WRF-3DVAR System for Tropical Storm Dianmu (2021) Forecasts. Atmosphere. 2022; 13(6):956. https://doi.org/10.3390/atmos13060956
Chicago/Turabian StyleThodsan, Thippawan, Falin Wu, Kritanai Torsri, Efren Martin Alban Cuestas, and Gongliu Yang. 2022. "Satellite Radiance Data Assimilation Using the WRF-3DVAR System for Tropical Storm Dianmu (2021) Forecasts" Atmosphere 13, no. 6: 956. https://doi.org/10.3390/atmos13060956