Eintrag weiter verarbeiten
A 0.01° Resolving TRMM PR Precipitation Climatology
Gespeichert in:
| Zeitschriftentitel: | Journal of Applied Meteorology and Climatology |
|---|---|
| Personen und Körperschaften: | , |
| In: | Journal of Applied Meteorology and Climatology, 57, 2018, 8, S. 1645-1661 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
American Meteorological Society
|
| Schlagwörter: |
| author_facet |
Hirose, M. Okada, K. Hirose, M. Okada, K. |
|---|---|
| author |
Hirose, M. Okada, K. |
| spellingShingle |
Hirose, M. Okada, K. Journal of Applied Meteorology and Climatology A 0.01° Resolving TRMM PR Precipitation Climatology Atmospheric Science |
| author_sort |
hirose, m. |
| spelling |
Hirose, M. Okada, K. 1558-8424 1558-8432 American Meteorological Society Atmospheric Science http://dx.doi.org/10.1175/jamc-d-17-0280.1 <jats:title>Abstract</jats:title><jats:p>In this study, rainfall data are prepared at a 0.01° scale using 16-yr spaceborne radar data over the area of 36.13°S<jats:bold>–</jats:bold>36.13°N as provided by the Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR). A spatial resolution that is finer than the field of view is obtained by assuming rainfall uniformity within an instantaneous footprint centered on the PR footprint geolocation. These ultra-high-resolution data reveal local rainfall concentrations over slope areas. A new estimate of the maximum rainfall at Cherrapunji, India, was observed on the valley side, approximately 5 km east of the gauge station, and is approximately 50% higher than the value indicated by the 0.1°-scale data. A case study of Yakushima Island, Japan, indicates that several percent of the sampling error arising from the spatial mismatch may be contained in conventional 0.05°-scale datasets generated without footprint areal information. The differences attributable to the enhancement in the resolution are significant in complex terrain such as the Himalayas. The differences in rainfall averaged for the 0.1° and 0.01° scales exceed 10 mm day<jats:sup>−1</jats:sup> over specific slope areas. In the case of New Guinea, the mean rainfall on a mountain ridge can be 30 times smaller than that on an adjacent slope at a distance of 0.25°; this is not well represented by other high-resolution datasets based on gauges and infrared radiometers. The substantial nonuniformity of rainfall climatology highlights the need for a better understanding of kilometer-scale geographic constraints on rainfall and retrieval approaches.</jats:p> A 0.01° Resolving TRMM PR Precipitation Climatology Journal of Applied Meteorology and Climatology |
| doi_str_mv |
10.1175/jamc-d-17-0280.1 |
| facet_avail |
Online Free |
| finc_class_facet |
Physik |
| format |
ElectronicArticle |
| fullrecord |
blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTE3NS9qYW1jLWQtMTctMDI4MC4x |
| id |
ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTE3NS9qYW1jLWQtMTctMDI4MC4x |
| institution |
DE-D275 DE-Bn3 DE-Brt1 DE-Zwi2 DE-D161 DE-Gla1 DE-Zi4 DE-15 DE-Rs1 DE-Pl11 DE-105 DE-14 DE-Ch1 DE-L229 |
| imprint |
American Meteorological Society, 2018 |
| imprint_str_mv |
American Meteorological Society, 2018 |
| issn |
1558-8424 1558-8432 |
| issn_str_mv |
1558-8424 1558-8432 |
| language |
Undetermined |
| mega_collection |
American Meteorological Society (CrossRef) |
| match_str |
hirose2018a001degresolvingtrmmprprecipitationclimatology |
| publishDateSort |
2018 |
| publisher |
American Meteorological Society |
| recordtype |
ai |
| record_format |
ai |
| series |
Journal of Applied Meteorology and Climatology |
| source_id |
49 |
| title |
A 0.01° Resolving TRMM PR Precipitation Climatology |
| title_unstemmed |
A 0.01° Resolving TRMM PR Precipitation Climatology |
| title_full |
A 0.01° Resolving TRMM PR Precipitation Climatology |
| title_fullStr |
A 0.01° Resolving TRMM PR Precipitation Climatology |
| title_full_unstemmed |
A 0.01° Resolving TRMM PR Precipitation Climatology |
| title_short |
A 0.01° Resolving TRMM PR Precipitation Climatology |
| title_sort |
a 0.01° resolving trmm pr precipitation climatology |
| topic |
Atmospheric Science |
| url |
http://dx.doi.org/10.1175/jamc-d-17-0280.1 |
| publishDate |
2018 |
| physical |
1645-1661 |
| description |
<jats:title>Abstract</jats:title><jats:p>In this study, rainfall data are prepared at a 0.01° scale using 16-yr spaceborne radar data over the area of 36.13°S<jats:bold>–</jats:bold>36.13°N as provided by the Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR). A spatial resolution that is finer than the field of view is obtained by assuming rainfall uniformity within an instantaneous footprint centered on the PR footprint geolocation. These ultra-high-resolution data reveal local rainfall concentrations over slope areas. A new estimate of the maximum rainfall at Cherrapunji, India, was observed on the valley side, approximately 5 km east of the gauge station, and is approximately 50% higher than the value indicated by the 0.1°-scale data. A case study of Yakushima Island, Japan, indicates that several percent of the sampling error arising from the spatial mismatch may be contained in conventional 0.05°-scale datasets generated without footprint areal information. The differences attributable to the enhancement in the resolution are significant in complex terrain such as the Himalayas. The differences in rainfall averaged for the 0.1° and 0.01° scales exceed 10 mm day<jats:sup>−1</jats:sup> over specific slope areas. In the case of New Guinea, the mean rainfall on a mountain ridge can be 30 times smaller than that on an adjacent slope at a distance of 0.25°; this is not well represented by other high-resolution datasets based on gauges and infrared radiometers. The substantial nonuniformity of rainfall climatology highlights the need for a better understanding of kilometer-scale geographic constraints on rainfall and retrieval approaches.</jats:p> |
| container_issue |
8 |
| container_start_page |
1645 |
| container_title |
Journal of Applied Meteorology and Climatology |
| container_volume |
57 |
| 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_ |
1792334526411702276 |
| geogr_code |
not assigned |
| last_indexed |
2024-03-01T14:30:02.836Z |
| 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=A+0.01%C2%B0+Resolving+TRMM+PR+Precipitation+Climatology&rft.date=2018-08-01&genre=article&issn=1558-8432&volume=57&issue=8&spage=1645&epage=1661&pages=1645-1661&jtitle=Journal+of+Applied+Meteorology+and+Climatology&atitle=A+0.01%C2%B0+Resolving+TRMM+PR+Precipitation+Climatology&aulast=Okada&aufirst=K.&rft_id=info%3Adoi%2F10.1175%2Fjamc-d-17-0280.1&rft.language%5B0%5D=und |
| SOLR | |
| _version_ | 1792334526411702276 |
| author | Hirose, M., Okada, K. |
| author_facet | Hirose, M., Okada, K., Hirose, M., Okada, K. |
| author_sort | hirose, m. |
| container_issue | 8 |
| container_start_page | 1645 |
| container_title | Journal of Applied Meteorology and Climatology |
| container_volume | 57 |
| description | <jats:title>Abstract</jats:title><jats:p>In this study, rainfall data are prepared at a 0.01° scale using 16-yr spaceborne radar data over the area of 36.13°S<jats:bold>–</jats:bold>36.13°N as provided by the Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR). A spatial resolution that is finer than the field of view is obtained by assuming rainfall uniformity within an instantaneous footprint centered on the PR footprint geolocation. These ultra-high-resolution data reveal local rainfall concentrations over slope areas. A new estimate of the maximum rainfall at Cherrapunji, India, was observed on the valley side, approximately 5 km east of the gauge station, and is approximately 50% higher than the value indicated by the 0.1°-scale data. A case study of Yakushima Island, Japan, indicates that several percent of the sampling error arising from the spatial mismatch may be contained in conventional 0.05°-scale datasets generated without footprint areal information. The differences attributable to the enhancement in the resolution are significant in complex terrain such as the Himalayas. The differences in rainfall averaged for the 0.1° and 0.01° scales exceed 10 mm day<jats:sup>−1</jats:sup> over specific slope areas. In the case of New Guinea, the mean rainfall on a mountain ridge can be 30 times smaller than that on an adjacent slope at a distance of 0.25°; this is not well represented by other high-resolution datasets based on gauges and infrared radiometers. The substantial nonuniformity of rainfall climatology highlights the need for a better understanding of kilometer-scale geographic constraints on rainfall and retrieval approaches.</jats:p> |
| doi_str_mv | 10.1175/jamc-d-17-0280.1 |
| facet_avail | Online, Free |
| finc_class_facet | 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-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTE3NS9qYW1jLWQtMTctMDI4MC4x |
| imprint | American Meteorological Society, 2018 |
| imprint_str_mv | American Meteorological Society, 2018 |
| institution | DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Rs1, DE-Pl11, DE-105, DE-14, DE-Ch1, DE-L229 |
| issn | 1558-8424, 1558-8432 |
| issn_str_mv | 1558-8424, 1558-8432 |
| language | Undetermined |
| last_indexed | 2024-03-01T14:30:02.836Z |
| match_str | hirose2018a001degresolvingtrmmprprecipitationclimatology |
| mega_collection | American Meteorological Society (CrossRef) |
| physical | 1645-1661 |
| publishDate | 2018 |
| publishDateSort | 2018 |
| publisher | American Meteorological Society |
| record_format | ai |
| recordtype | ai |
| series | Journal of Applied Meteorology and Climatology |
| source_id | 49 |
| spelling | Hirose, M. Okada, K. 1558-8424 1558-8432 American Meteorological Society Atmospheric Science http://dx.doi.org/10.1175/jamc-d-17-0280.1 <jats:title>Abstract</jats:title><jats:p>In this study, rainfall data are prepared at a 0.01° scale using 16-yr spaceborne radar data over the area of 36.13°S<jats:bold>–</jats:bold>36.13°N as provided by the Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR). A spatial resolution that is finer than the field of view is obtained by assuming rainfall uniformity within an instantaneous footprint centered on the PR footprint geolocation. These ultra-high-resolution data reveal local rainfall concentrations over slope areas. A new estimate of the maximum rainfall at Cherrapunji, India, was observed on the valley side, approximately 5 km east of the gauge station, and is approximately 50% higher than the value indicated by the 0.1°-scale data. A case study of Yakushima Island, Japan, indicates that several percent of the sampling error arising from the spatial mismatch may be contained in conventional 0.05°-scale datasets generated without footprint areal information. The differences attributable to the enhancement in the resolution are significant in complex terrain such as the Himalayas. The differences in rainfall averaged for the 0.1° and 0.01° scales exceed 10 mm day<jats:sup>−1</jats:sup> over specific slope areas. In the case of New Guinea, the mean rainfall on a mountain ridge can be 30 times smaller than that on an adjacent slope at a distance of 0.25°; this is not well represented by other high-resolution datasets based on gauges and infrared radiometers. The substantial nonuniformity of rainfall climatology highlights the need for a better understanding of kilometer-scale geographic constraints on rainfall and retrieval approaches.</jats:p> A 0.01° Resolving TRMM PR Precipitation Climatology Journal of Applied Meteorology and Climatology |
| spellingShingle | Hirose, M., Okada, K., Journal of Applied Meteorology and Climatology, A 0.01° Resolving TRMM PR Precipitation Climatology, Atmospheric Science |
| title | A 0.01° Resolving TRMM PR Precipitation Climatology |
| title_full | A 0.01° Resolving TRMM PR Precipitation Climatology |
| title_fullStr | A 0.01° Resolving TRMM PR Precipitation Climatology |
| title_full_unstemmed | A 0.01° Resolving TRMM PR Precipitation Climatology |
| title_short | A 0.01° Resolving TRMM PR Precipitation Climatology |
| title_sort | a 0.01° resolving trmm pr precipitation climatology |
| title_unstemmed | A 0.01° Resolving TRMM PR Precipitation Climatology |
| topic | Atmospheric Science |
| url | http://dx.doi.org/10.1175/jamc-d-17-0280.1 |