Remote Sensing of Precipitation: Volume 2
Precipitation is a well-recognized pillar in global water and energy balances. An accurate and timely understanding of its characteristics at the global, regional, and local scales is indispensable for a clearer understanding of the mechanisms underlying the Earth’s atmosphere–ocean complex system....
Saved in:
| : | |
|---|---|
| Year of Publication: | 2019 |
| Language: | English |
| Physical Description: | 1 electronic resource (318 p.) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
993544126004498 |
|---|---|
| ctrlnum |
(CKB)4920000000095068 (oapen)https://directory.doabooks.org/handle/20.500.12854/58178 (EXLCZ)994920000000095068 |
| collection |
bib_alma |
| record_format |
marc |
| spelling |
Michaelides, Silas auth Remote Sensing of Precipitation: Volume 2 Remote Sensing of Precipitation MDPI - Multidisciplinary Digital Publishing Institute 2019 1 electronic resource (318 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Precipitation is a well-recognized pillar in global water and energy balances. An accurate and timely understanding of its characteristics at the global, regional, and local scales is indispensable for a clearer understanding of the mechanisms underlying the Earth’s atmosphere–ocean complex system. Precipitation is one of the elements that is documented to be greatly affected by climate change. In its various forms, precipitation comprises a primary source of freshwater, which is vital for the sustainability of almost all human activities. Its socio-economic significance is fundamental in managing this natural resource effectively, in applications ranging from irrigation to industrial and household usage. Remote sensing of precipitation is pursued through a broad spectrum of continuously enriched and upgraded instrumentation, embracing sensors which can be ground-based (e.g., weather radars), satellite-borne (e.g., passive or active space-borne sensors), underwater (e.g., hydrophones), aerial, or ship-borne. English satellite radiance WRF-Hydro meteorological radar QPE microstructure of rain TMPA evaluation precipitation volume matching CFSR GMI terminal velocity TRMM-TMPA surface rain intensity retrieval algorithm rain gauges tropical cyclone CMORPH T-Matrix Global Precipitation Measurement (GPM) statistical evaluation vertical air velocity heavy rainfall prediction GPM IMERG v5 Tianshan Mountains Red River Basin precipitation retrieval satellite precipitation PERSIANN-CCS validation network PEMW satellite rainfall estimate high latitude Cyprus GPM wet deposition CloudSat thundercloud GPS satellite remote sensing assessment numerical weather prediction mineral dust complex terrain mesoscale precipitation patterns GNSS meteorology lumped models satellites Southern China error analysis topography cloud scavenging radar reflectivity–rain rate relationship CHAOS RADOLAN hydrometeor classification TRMM thunderstorm CHIRPS satellite precipitation retrieval GPM/IMERG GSMaP bias correction Precise Point Positioning Mainland China supercooled droplets detection SEID Saharan dust transportation Huaihe River basin GPM Microwave Imager satellite TMPA 3B42RT forecast model quality indexes SEVIRI radiometer triple collocation satellite precipitation product Mandra synoptic weather types drop size distribution (DSD) Amazon Basin weather radar X-band radar downscaling precipitation rate neural networks rain rate CMIP GPM-era IMERG GR models weather typhoon satellite rainfall retrievals TRMM 3B42 v7 validation low-cost receivers rainfall retrieval techniques snowfall detection GPM satellite Zenith Tropospheric Delay 3B42 hurricane Harvey PERSIANN_CDR TRMM 3B42 V7 snow water path retrieval DPR satellite precipitation adjustment Peninsular Spain RMAPS daily rainfall estimations streamflow simulation regional climate models Red–Thai Binh River Basin Ensemble Precipitation (EP) algorithm cloud radar disdrometer TRMM-era TMPA hydrometeorology MSG radar data assimilation dust washout process runoff simulations geostationary microwave sensors radar topographical and seasonal evaluation goGPS XPOL radar TMPA 3B42V7 telemetric rain gauge harmonie model tropical storm rainfall linear-scaling approach Milešovka observatory precipitable water vapor heavy precipitation hydrological simulation reflectivity Ka-band Tibetan Plateau satellite rainfall estimates regional rainfall regimes Lai Nullah microwave scattering remote sensing pre-processing rainfall rate MSWEP climatology VIC model CMORPH_CRT IMERG single frequency GNSS PERSIANN flood-inducing storm climate models Pakistan precipitating hydrometeor data assimilation rainfall kriging with external drift dual-polarization quantitative precipitation estimates flash flood Satellite Precipitation Estimates gridded radar precipitation regional rainfall sub-regimes polar systems 3-03921-287-7 |
| language |
English |
| format |
eBook |
| author |
Michaelides, Silas |
| spellingShingle |
Michaelides, Silas Remote Sensing of Precipitation: Volume 2 |
| author_facet |
Michaelides, Silas |
| author_variant |
s m sm |
| author_sort |
Michaelides, Silas |
| title |
Remote Sensing of Precipitation: Volume 2 |
| title_full |
Remote Sensing of Precipitation: Volume 2 |
| title_fullStr |
Remote Sensing of Precipitation: Volume 2 |
| title_full_unstemmed |
Remote Sensing of Precipitation: Volume 2 |
| title_auth |
Remote Sensing of Precipitation: Volume 2 |
| title_alt |
Remote Sensing of Precipitation |
| title_new |
Remote Sensing of Precipitation: Volume 2 |
| title_sort |
remote sensing of precipitation: volume 2 |
| publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
| publishDate |
2019 |
| physical |
1 electronic resource (318 p.) |
| isbn |
3-03921-288-5 3-03921-287-7 |
| illustrated |
Not Illustrated |
| work_keys_str_mv |
AT michaelidessilas remotesensingofprecipitationvolume2 AT michaelidessilas remotesensingofprecipitation |
| status_str |
n |
| ids_txt_mv |
(CKB)4920000000095068 (oapen)https://directory.doabooks.org/handle/20.500.12854/58178 (EXLCZ)994920000000095068 |
| carrierType_str_mv |
cr |
| is_hierarchy_title |
Remote Sensing of Precipitation: Volume 2 |
| _version_ |
1796652263541833728 |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>07427nam-a2202293z--4500</leader><controlfield tag="001">993544126004498</controlfield><controlfield tag="005">20231214133528.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202102s2019 xx |||||o ||| 0|eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">3-03921-288-5</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)4920000000095068</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/58178</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)994920000000095068</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Michaelides, Silas</subfield><subfield code="4">auth</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Remote Sensing of Precipitation: Volume 2</subfield></datafield><datafield tag="246" ind1=" " ind2=" "><subfield code="a">Remote Sensing of Precipitation</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute</subfield><subfield code="c">2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (318 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Precipitation is a well-recognized pillar in global water and energy balances. An accurate and timely understanding of its characteristics at the global, regional, and local scales is indispensable for a clearer understanding of the mechanisms underlying the Earth’s atmosphere–ocean complex system. Precipitation is one of the elements that is documented to be greatly affected by climate change. In its various forms, precipitation comprises a primary source of freshwater, which is vital for the sustainability of almost all human activities. Its socio-economic significance is fundamental in managing this natural resource effectively, in applications ranging from irrigation to industrial and household usage. Remote sensing of precipitation is pursued through a broad spectrum of continuously enriched and upgraded instrumentation, embracing sensors which can be ground-based (e.g., weather radars), satellite-borne (e.g., passive or active space-borne sensors), underwater (e.g., hydrophones), aerial, or ship-borne.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">satellite radiance</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">WRF-Hydro</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">meteorological radar</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">QPE</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">microstructure of rain</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">TMPA</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">evaluation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">precipitation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">volume matching</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">CFSR</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">GMI</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">terminal velocity</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">TRMM-TMPA</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">surface rain intensity</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">retrieval algorithm</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">rain gauges</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">tropical cyclone</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">CMORPH</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">T-Matrix</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Global Precipitation Measurement (GPM)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">statistical evaluation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">vertical air velocity</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">heavy rainfall prediction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">GPM IMERG v5</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Tianshan Mountains</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Red River Basin</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">precipitation retrieval</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">satellite precipitation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">PERSIANN-CCS</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">validation network</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">PEMW</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">satellite rainfall estimate</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">high latitude</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Cyprus</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">GPM</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">wet deposition</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">CloudSat</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">thundercloud</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">GPS</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">satellite remote sensing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">assessment</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">numerical weather prediction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">mineral dust</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">complex terrain</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">mesoscale precipitation patterns</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">GNSS meteorology</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">lumped models</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">satellites</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Southern China</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">error analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">topography</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cloud scavenging</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">radar reflectivity–rain rate relationship</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">CHAOS</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">RADOLAN</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hydrometeor classification</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">TRMM</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">thunderstorm</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">CHIRPS</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">satellite precipitation retrieval</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">GPM/IMERG</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">GSMaP</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">bias correction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Precise Point Positioning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Mainland China</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">supercooled droplets detection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">SEID</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Saharan dust transportation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Huaihe River basin</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">GPM Microwave Imager</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">satellite</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">TMPA 3B42RT</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">forecast model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">quality indexes</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">SEVIRI</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">radiometer</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">triple collocation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">satellite precipitation product</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Mandra</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">synoptic weather types</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">drop size distribution (DSD)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Amazon Basin</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">weather radar</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">X-band radar</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">downscaling</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">precipitation rate</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">neural networks</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">rain rate</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">CMIP</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">GPM-era IMERG</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">GR models</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">weather</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">typhoon</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">satellite rainfall retrievals</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">TRMM 3B42 v7</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">validation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">low-cost receivers</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">rainfall retrieval techniques</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">snowfall detection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">GPM satellite</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Zenith Tropospheric Delay</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">3B42</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hurricane Harvey</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">PERSIANN_CDR</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">TRMM 3B42 V7</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">snow water path retrieval</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">DPR</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">satellite precipitation adjustment</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Peninsular Spain</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">RMAPS</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">daily rainfall estimations</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">streamflow simulation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">regional climate models</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Red–Thai Binh River Basin</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Ensemble Precipitation (EP) algorithm</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cloud radar</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">disdrometer</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">TRMM-era TMPA</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hydrometeorology</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">MSG</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">radar data assimilation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">dust washout process</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">runoff simulations</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">geostationary microwave sensors</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">radar</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">topographical and seasonal evaluation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">goGPS</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">XPOL radar</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">TMPA 3B42V7</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">telemetric rain gauge</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">harmonie model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">tropical storm rainfall</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">linear-scaling approach</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Milešovka observatory</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">precipitable water vapor</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">heavy precipitation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hydrological simulation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">reflectivity</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Ka-band</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Tibetan Plateau</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">satellite rainfall estimates</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">regional rainfall regimes</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Lai Nullah</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">microwave scattering</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">remote sensing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">pre-processing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">rainfall rate</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">MSWEP</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">climatology</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">VIC model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">CMORPH_CRT</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">IMERG</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">single frequency GNSS</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">PERSIANN</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">flood-inducing storm</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">climate models</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Pakistan</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">precipitating hydrometeor</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">data assimilation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">rainfall</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">kriging with external drift</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">dual-polarization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">quantitative precipitation estimates</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">flash flood</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Satellite Precipitation Estimates</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">gridded radar precipitation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">regional rainfall sub-regimes</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">polar systems</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-03921-287-7</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 05:56:46 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2019-11-10 04:18:40 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5337560390004498&Force_direct=true</subfield><subfield code="Z">5337560390004498</subfield><subfield code="b">Available</subfield><subfield code="8">5337560390004498</subfield></datafield></record></collection> |