Remote Sensing of Hydro-Meteorology
Flood/drought, risk management, and policy: decision-making under uncertainty. Hydrometeorological extremes and their impact on human–environment systems. Regional and nonstationary frequency analysis of extreme events. Detection and prediction of hydrometeorological extremes with observational and...
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| description | Flood/drought, risk management, and policy: decision-making under uncertainty. Hydrometeorological extremes and their impact on human–environment systems. Regional and nonstationary frequency analysis of extreme events. Detection and prediction of hydrometeorological extremes with observational and model-based approaches. Vulnerability and impact assessment for adaptation to climate change. |
| doi_str_mv | 10.3390/books978-3-0365-1629-5 |
| format | Book |
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Hydrometeorological extremes and their impact on human–environment systems. Regional and nonstationary frequency analysis of extreme events. Detection and prediction of hydrometeorological extremes with observational and model-based approaches. Vulnerability and impact assessment for adaptation to climate change.</description><identifier>ISBN: 3036516298</identifier><identifier>ISBN: 9783036516301</identifier><identifier>ISBN: 9783036516295</identifier><identifier>ISBN: 3036516301</identifier><identifier>DOI: 10.3390/books978-3-0365-1629-5</identifier><language>eng</language><publisher>Basel: MDPI - Multidisciplinary Digital Publishing Institute</publisher><subject>agricultural drought ; Bayesian principal component analysis (BPCA) ; China ; El Niño–Southern Oscillation ; El Niño–Southern Oscillation (ENSO) ; error propagation ; extreme precipitation index ; fuzzy C-means clustering ; genetic programming ; History of engineering and technology ; Huai River Basin ; hydrological drought ; hydrological modeling ; Indian Ocean Dipole (IOD) ; Indian Ocean Dipole mode ; integrated drought monitoring ; intentional statistical simulation ; KGE ; linear trend ; meteorological drought ; MODIS chlorophyll-a ; monsoon-climate watershed ; multiple polynomial regression ; mutual information ; non-stationarity of seasonal precipitation ; PERSIANN-CDR ; prediction ; rainfall variability ; remote sensing ; satellite-based precipitation ; sentinel-2A MSI ; singular spectrum analysis ; spatial downscaling ; statistical model ; statistical simulation ; Technology, Engineering, Agriculture, Industrial processes ; Technology: general issues ; thema EDItEUR ; typhoon-induced rainfall</subject><creationdate>2022</creationdate><tpages>154</tpages><format>154</format><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>306,780,784,786,27925,55310</link.rule.ids></links><search><contributor>Kim, Jong-Suk</contributor><contributor>Jung, Young Hun</contributor><contributor>Lee, Joo-Heon</contributor><contributor>Sur, Chanyang</contributor><title>Remote Sensing of Hydro-Meteorology</title><description>Flood/drought, risk management, and policy: decision-making under uncertainty. Hydrometeorological extremes and their impact on human–environment systems. Regional and nonstationary frequency analysis of extreme events. Detection and prediction of hydrometeorological extremes with observational and model-based approaches. Vulnerability and impact assessment for adaptation to climate change.</description><subject>agricultural drought</subject><subject>Bayesian principal component analysis (BPCA)</subject><subject>China</subject><subject>El Niño–Southern Oscillation</subject><subject>El Niño–Southern Oscillation (ENSO)</subject><subject>error propagation</subject><subject>extreme precipitation index</subject><subject>fuzzy C-means clustering</subject><subject>genetic programming</subject><subject>History of engineering and technology</subject><subject>Huai River Basin</subject><subject>hydrological drought</subject><subject>hydrological modeling</subject><subject>Indian Ocean Dipole (IOD)</subject><subject>Indian Ocean Dipole mode</subject><subject>integrated drought monitoring</subject><subject>intentional statistical simulation</subject><subject>KGE</subject><subject>linear trend</subject><subject>meteorological drought</subject><subject>MODIS chlorophyll-a</subject><subject>monsoon-climate watershed</subject><subject>multiple polynomial regression</subject><subject>mutual information</subject><subject>non-stationarity of seasonal precipitation</subject><subject>PERSIANN-CDR</subject><subject>prediction</subject><subject>rainfall variability</subject><subject>remote sensing</subject><subject>satellite-based precipitation</subject><subject>sentinel-2A MSI</subject><subject>singular spectrum analysis</subject><subject>spatial downscaling</subject><subject>statistical model</subject><subject>statistical simulation</subject><subject>Technology, Engineering, Agriculture, Industrial processes</subject><subject>Technology: general issues</subject><subject>thema EDItEUR</subject><subject>typhoon-induced rainfall</subject><isbn>3036516298</isbn><isbn>9783036516301</isbn><isbn>9783036516295</isbn><isbn>3036516301</isbn><fulltext>true</fulltext><rsrctype>book</rsrctype><creationdate>2022</creationdate><recordtype>book</recordtype><sourceid>V1H</sourceid><recordid>eNotj81KA0EQhAdEUGOeQJAFz6Pd0zOzvUcJaoRIIOo57Do98SduSyaXvL2b6Kn4iqKoMuYS4ZqogZtO9as0NVuyQDFYjK6x4cic0R73xCdmXMonALgGHXN9aq4W8q1bqZ6lLx_9qtJcTXdpo_ZJtqIbXetqd26Oc7suMv7XkXm9v3uZTO1s_vA4uZ3ZdxfY2c4TUpbAUgNkZBLwXkLCELsI7NklzG3OwxjngbOAGyL4JjkFCYM_Mhd_vdr-SL9M2h4uLRkhMv0CODg-pw</recordid><startdate>2022</startdate><enddate>2022</enddate><general>MDPI - Multidisciplinary Digital Publishing Institute</general><scope>V1H</scope></search><sort><creationdate>2022</creationdate><title>Remote Sensing of Hydro-Meteorology</title></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-h2582-b4313fe58e700f183e044e5d156b608482d1faff3652408fe023e01cefd5e5ff3</frbrgroupid><rsrctype>books</rsrctype><prefilter>books</prefilter><language>eng</language><creationdate>2022</creationdate><topic>agricultural drought</topic><topic>Bayesian principal component analysis (BPCA)</topic><topic>China</topic><topic>El Niño–Southern Oscillation</topic><topic>El Niño–Southern Oscillation (ENSO)</topic><topic>error propagation</topic><topic>extreme precipitation index</topic><topic>fuzzy C-means clustering</topic><topic>genetic programming</topic><topic>History of engineering and technology</topic><topic>Huai River Basin</topic><topic>hydrological drought</topic><topic>hydrological modeling</topic><topic>Indian Ocean Dipole (IOD)</topic><topic>Indian Ocean Dipole mode</topic><topic>integrated drought monitoring</topic><topic>intentional statistical simulation</topic><topic>KGE</topic><topic>linear trend</topic><topic>meteorological drought</topic><topic>MODIS chlorophyll-a</topic><topic>monsoon-climate watershed</topic><topic>multiple polynomial regression</topic><topic>mutual information</topic><topic>non-stationarity of seasonal precipitation</topic><topic>PERSIANN-CDR</topic><topic>prediction</topic><topic>rainfall variability</topic><topic>remote sensing</topic><topic>satellite-based precipitation</topic><topic>sentinel-2A MSI</topic><topic>singular spectrum analysis</topic><topic>spatial downscaling</topic><topic>statistical model</topic><topic>statistical simulation</topic><topic>Technology, Engineering, Agriculture, Industrial processes</topic><topic>Technology: general issues</topic><topic>thema EDItEUR</topic><topic>typhoon-induced rainfall</topic><toplevel>online_resources</toplevel><collection>DOAB: Directory of Open Access Books</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Jong-Suk</au><au>Jung, Young Hun</au><au>Lee, Joo-Heon</au><au>Sur, Chanyang</au><format>book</format><genre>book</genre><ristype>BOOK</ristype><btitle>Remote Sensing of Hydro-Meteorology</btitle><date>2022</date><risdate>2022</risdate><isbn>3036516298</isbn><isbn>9783036516301</isbn><isbn>9783036516295</isbn><isbn>3036516301</isbn><abstract>Flood/drought, risk management, and policy: decision-making under uncertainty. Hydrometeorological extremes and their impact on human–environment systems. Regional and nonstationary frequency analysis of extreme events. Detection and prediction of hydrometeorological extremes with observational and model-based approaches. Vulnerability and impact assessment for adaptation to climate change.</abstract><cop>Basel</cop><pub>MDPI - Multidisciplinary Digital Publishing Institute</pub><doi>10.3390/books978-3-0365-1629-5</doi><tpages>154</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISBN: 3036516298 |
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| language | eng |
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| source | DOAB: Directory of Open Access Books |
| subjects | agricultural drought Bayesian principal component analysis (BPCA) China El Niño–Southern Oscillation El Niño–Southern Oscillation (ENSO) error propagation extreme precipitation index fuzzy C-means clustering genetic programming History of engineering and technology Huai River Basin hydrological drought hydrological modeling Indian Ocean Dipole (IOD) Indian Ocean Dipole mode integrated drought monitoring intentional statistical simulation KGE linear trend meteorological drought MODIS chlorophyll-a monsoon-climate watershed multiple polynomial regression mutual information non-stationarity of seasonal precipitation PERSIANN-CDR prediction rainfall variability remote sensing satellite-based precipitation sentinel-2A MSI singular spectrum analysis spatial downscaling statistical model statistical simulation Technology, Engineering, Agriculture, Industrial processes Technology: general issues thema EDItEUR typhoon-induced rainfall |
| title | Remote Sensing of Hydro-Meteorology |
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