Eintrag weiter verarbeiten
Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events
Gespeichert in:
| Zeitschriftentitel: | Journal of Advances in Modeling Earth Systems |
|---|---|
| Personen und Körperschaften: | , , , , |
| In: | Journal of Advances in Modeling Earth Systems, 12, 2020, 5 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
American Geophysical Union (AGU)
|
| Schlagwörter: |
| author_facet |
Li, Xuanli Mecikalski, John R. Srikishen, Jayanthi Zavodsky, Bradley Petersen, Walter A. Li, Xuanli Mecikalski, John R. Srikishen, Jayanthi Zavodsky, Bradley Petersen, Walter A. |
|---|---|
| author |
Li, Xuanli Mecikalski, John R. Srikishen, Jayanthi Zavodsky, Bradley Petersen, Walter A. |
| spellingShingle |
Li, Xuanli Mecikalski, John R. Srikishen, Jayanthi Zavodsky, Bradley Petersen, Walter A. Journal of Advances in Modeling Earth Systems Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events General Earth and Planetary Sciences Environmental Chemistry Global and Planetary Change |
| author_sort |
li, xuanli |
| spelling |
Li, Xuanli Mecikalski, John R. Srikishen, Jayanthi Zavodsky, Bradley Petersen, Walter A. 1942-2466 1942-2466 American Geophysical Union (AGU) General Earth and Planetary Sciences Environmental Chemistry Global and Planetary Change http://dx.doi.org/10.1029/2019ms001618 <jats:title>Abstract</jats:title><jats:p>The National Aeronautics and Space Administration‐Japan Aerospace Exploration Agency Global Precipitation Measurement (GPM) mission consists of a multisatellite constellation that provides real‐time or near‐real‐time global observations of rain and snow. In this study, GPM Level 3 Integrated Multi‐satellitE Retrievals for GPM (IMERG) and Level 2 GPM Microwave Imager Goddard Profiling rainfall products have been assimilated into the Weather Research and Forecasting model using the community Gridpoint Statistical Interpolation (GSI) data assimilation system. Experiments have been conducted and compared to demonstrate the impact of rain rate data assimilation on forecasts of heavy rainfall related to Hurricane Harvey (2017) and moderate to light rainfall observed during the GPM Integrated Precipitation and Hydrology Experiment field campaign. The results indicate that both GPM Microwave Imager Goddard Profiling and IMERG data could generate apparent increments in moisture, temperature, wind, and pressure fields for Hurricane Harvey, which led to significant improvement in the precipitation forecast. Frequent (every 3 hr) assimilation of IMERG data also positively impacted the short‐term precipitation forecast skill for the Integrated Precipitation and Hydrology Experiment moderate to light rain events. However, results also indicate that the impact of rain data assimilation was limited for a system that had a small horizontal dimension with low rain rates and within a relatively stable synoptic environment.</jats:p> Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events Journal of Advances in Modeling Earth Systems |
| doi_str_mv |
10.1029/2019ms001618 |
| facet_avail |
Online Free |
| finc_class_facet |
Technik Chemie und Pharmazie Geologie und Paläontologie Geographie Physik |
| format |
ElectronicArticle |
| fullrecord |
blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAyOS8yMDE5bXMwMDE2MTg |
| id |
ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAyOS8yMDE5bXMwMDE2MTg |
| institution |
DE-Gla1 DE-Zi4 DE-15 DE-Pl11 DE-Rs1 DE-105 DE-14 DE-Ch1 DE-L229 DE-D275 DE-Bn3 DE-Brt1 DE-Zwi2 DE-D161 |
| imprint |
American Geophysical Union (AGU), 2020 |
| imprint_str_mv |
American Geophysical Union (AGU), 2020 |
| issn |
1942-2466 |
| issn_str_mv |
1942-2466 |
| language |
English |
| mega_collection |
American Geophysical Union (AGU) (CrossRef) |
| match_str |
li2020assimilationofgpmrainrateproductswithgsidataassimilationsystemforheavyandlightprecipitationevents |
| publishDateSort |
2020 |
| publisher |
American Geophysical Union (AGU) |
| recordtype |
ai |
| record_format |
ai |
| series |
Journal of Advances in Modeling Earth Systems |
| source_id |
49 |
| title |
Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events |
| title_unstemmed |
Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events |
| title_full |
Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events |
| title_fullStr |
Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events |
| title_full_unstemmed |
Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events |
| title_short |
Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events |
| title_sort |
assimilation of gpm rain rate products with gsi data assimilation system for heavy and light precipitation events |
| topic |
General Earth and Planetary Sciences Environmental Chemistry Global and Planetary Change |
| url |
http://dx.doi.org/10.1029/2019ms001618 |
| publishDate |
2020 |
| physical |
|
| description |
<jats:title>Abstract</jats:title><jats:p>The National Aeronautics and Space Administration‐Japan Aerospace Exploration Agency Global Precipitation Measurement (GPM) mission consists of a multisatellite constellation that provides real‐time or near‐real‐time global observations of rain and snow. In this study, GPM Level 3 Integrated Multi‐satellitE Retrievals for GPM (IMERG) and Level 2 GPM Microwave Imager Goddard Profiling rainfall products have been assimilated into the Weather Research and Forecasting model using the community Gridpoint Statistical Interpolation (GSI) data assimilation system. Experiments have been conducted and compared to demonstrate the impact of rain rate data assimilation on forecasts of heavy rainfall related to Hurricane Harvey (2017) and moderate to light rainfall observed during the GPM Integrated Precipitation and Hydrology Experiment field campaign. The results indicate that both GPM Microwave Imager Goddard Profiling and IMERG data could generate apparent increments in moisture, temperature, wind, and pressure fields for Hurricane Harvey, which led to significant improvement in the precipitation forecast. Frequent (every 3 hr) assimilation of IMERG data also positively impacted the short‐term precipitation forecast skill for the Integrated Precipitation and Hydrology Experiment moderate to light rain events. However, results also indicate that the impact of rain data assimilation was limited for a system that had a small horizontal dimension with low rain rates and within a relatively stable synoptic environment.</jats:p> |
| container_issue |
5 |
| container_start_page |
0 |
| container_title |
Journal of Advances in Modeling Earth Systems |
| container_volume |
12 |
| format_de105 |
Article, E-Article |
| format_de14 |
Article, E-Article |
| format_de15 |
Article, E-Article |
| format_de520 |
Article, E-Article |
| format_de540 |
Article, E-Article |
| format_dech1 |
Article, E-Article |
| format_ded117 |
Article, E-Article |
| format_degla1 |
E-Article |
| format_del152 |
Buch |
| format_del189 |
Article, E-Article |
| format_dezi4 |
Article |
| format_dezwi2 |
Article, E-Article |
| format_finc |
Article, E-Article |
| format_nrw |
Article, E-Article |
| _version_ |
1792333137227808773 |
| geogr_code |
not assigned |
| last_indexed |
2024-03-01T14:07:59.229Z |
| geogr_code_person |
not assigned |
| openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Assimilation+of+GPM+Rain+Rate+Products+With+GSI+Data+Assimilation+System+for+Heavy+and+Light+Precipitation+Events&rft.date=2020-05-01&genre=article&issn=1942-2466&volume=12&issue=5&jtitle=Journal+of+Advances+in+Modeling+Earth+Systems&atitle=Assimilation+of+GPM+Rain+Rate+Products+With+GSI+Data+Assimilation+System+for+Heavy+and+Light+Precipitation+Events&aulast=Petersen&aufirst=Walter+A.&rft_id=info%3Adoi%2F10.1029%2F2019ms001618&rft.language%5B0%5D=eng |
| SOLR | |
| _version_ | 1792333137227808773 |
| author | Li, Xuanli, Mecikalski, John R., Srikishen, Jayanthi, Zavodsky, Bradley, Petersen, Walter A. |
| author_facet | Li, Xuanli, Mecikalski, John R., Srikishen, Jayanthi, Zavodsky, Bradley, Petersen, Walter A., Li, Xuanli, Mecikalski, John R., Srikishen, Jayanthi, Zavodsky, Bradley, Petersen, Walter A. |
| author_sort | li, xuanli |
| container_issue | 5 |
| container_start_page | 0 |
| container_title | Journal of Advances in Modeling Earth Systems |
| container_volume | 12 |
| description | <jats:title>Abstract</jats:title><jats:p>The National Aeronautics and Space Administration‐Japan Aerospace Exploration Agency Global Precipitation Measurement (GPM) mission consists of a multisatellite constellation that provides real‐time or near‐real‐time global observations of rain and snow. In this study, GPM Level 3 Integrated Multi‐satellitE Retrievals for GPM (IMERG) and Level 2 GPM Microwave Imager Goddard Profiling rainfall products have been assimilated into the Weather Research and Forecasting model using the community Gridpoint Statistical Interpolation (GSI) data assimilation system. Experiments have been conducted and compared to demonstrate the impact of rain rate data assimilation on forecasts of heavy rainfall related to Hurricane Harvey (2017) and moderate to light rainfall observed during the GPM Integrated Precipitation and Hydrology Experiment field campaign. The results indicate that both GPM Microwave Imager Goddard Profiling and IMERG data could generate apparent increments in moisture, temperature, wind, and pressure fields for Hurricane Harvey, which led to significant improvement in the precipitation forecast. Frequent (every 3 hr) assimilation of IMERG data also positively impacted the short‐term precipitation forecast skill for the Integrated Precipitation and Hydrology Experiment moderate to light rain events. However, results also indicate that the impact of rain data assimilation was limited for a system that had a small horizontal dimension with low rain rates and within a relatively stable synoptic environment.</jats:p> |
| doi_str_mv | 10.1029/2019ms001618 |
| facet_avail | Online, Free |
| finc_class_facet | Technik, Chemie und Pharmazie, Geologie und Paläontologie, Geographie, Physik |
| format | ElectronicArticle |
| format_de105 | Article, E-Article |
| format_de14 | Article, E-Article |
| format_de15 | Article, E-Article |
| format_de520 | Article, E-Article |
| format_de540 | Article, E-Article |
| format_dech1 | Article, E-Article |
| format_ded117 | Article, E-Article |
| format_degla1 | E-Article |
| format_del152 | Buch |
| format_del189 | Article, E-Article |
| format_dezi4 | Article |
| format_dezwi2 | Article, E-Article |
| format_finc | Article, E-Article |
| format_nrw | Article, E-Article |
| geogr_code | not assigned |
| geogr_code_person | not assigned |
| id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAyOS8yMDE5bXMwMDE2MTg |
| imprint | American Geophysical Union (AGU), 2020 |
| imprint_str_mv | American Geophysical Union (AGU), 2020 |
| institution | DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161 |
| issn | 1942-2466 |
| issn_str_mv | 1942-2466 |
| language | English |
| last_indexed | 2024-03-01T14:07:59.229Z |
| match_str | li2020assimilationofgpmrainrateproductswithgsidataassimilationsystemforheavyandlightprecipitationevents |
| mega_collection | American Geophysical Union (AGU) (CrossRef) |
| physical | |
| publishDate | 2020 |
| publishDateSort | 2020 |
| publisher | American Geophysical Union (AGU) |
| record_format | ai |
| recordtype | ai |
| series | Journal of Advances in Modeling Earth Systems |
| source_id | 49 |
| spelling | Li, Xuanli Mecikalski, John R. Srikishen, Jayanthi Zavodsky, Bradley Petersen, Walter A. 1942-2466 1942-2466 American Geophysical Union (AGU) General Earth and Planetary Sciences Environmental Chemistry Global and Planetary Change http://dx.doi.org/10.1029/2019ms001618 <jats:title>Abstract</jats:title><jats:p>The National Aeronautics and Space Administration‐Japan Aerospace Exploration Agency Global Precipitation Measurement (GPM) mission consists of a multisatellite constellation that provides real‐time or near‐real‐time global observations of rain and snow. In this study, GPM Level 3 Integrated Multi‐satellitE Retrievals for GPM (IMERG) and Level 2 GPM Microwave Imager Goddard Profiling rainfall products have been assimilated into the Weather Research and Forecasting model using the community Gridpoint Statistical Interpolation (GSI) data assimilation system. Experiments have been conducted and compared to demonstrate the impact of rain rate data assimilation on forecasts of heavy rainfall related to Hurricane Harvey (2017) and moderate to light rainfall observed during the GPM Integrated Precipitation and Hydrology Experiment field campaign. The results indicate that both GPM Microwave Imager Goddard Profiling and IMERG data could generate apparent increments in moisture, temperature, wind, and pressure fields for Hurricane Harvey, which led to significant improvement in the precipitation forecast. Frequent (every 3 hr) assimilation of IMERG data also positively impacted the short‐term precipitation forecast skill for the Integrated Precipitation and Hydrology Experiment moderate to light rain events. However, results also indicate that the impact of rain data assimilation was limited for a system that had a small horizontal dimension with low rain rates and within a relatively stable synoptic environment.</jats:p> Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events Journal of Advances in Modeling Earth Systems |
| spellingShingle | Li, Xuanli, Mecikalski, John R., Srikishen, Jayanthi, Zavodsky, Bradley, Petersen, Walter A., Journal of Advances in Modeling Earth Systems, Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events, General Earth and Planetary Sciences, Environmental Chemistry, Global and Planetary Change |
| title | Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events |
| title_full | Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events |
| title_fullStr | Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events |
| title_full_unstemmed | Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events |
| title_short | Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events |
| title_sort | assimilation of gpm rain rate products with gsi data assimilation system for heavy and light precipitation events |
| title_unstemmed | Assimilation of GPM Rain Rate Products With GSI Data Assimilation System for Heavy and Light Precipitation Events |
| topic | General Earth and Planetary Sciences, Environmental Chemistry, Global and Planetary Change |
| url | http://dx.doi.org/10.1029/2019ms001618 |