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Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia
| Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia |
| Autore | Meng Xianyong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (384 p.) |
| Soggetto non controllato |
sensitivity analysis
non-point source pollution models reservoirs operation rule East Asia climate variability Qinghai-Tibet Plateau (TP) potential evapotranspiration precipitation capacity distribution GLUE soil temperature land use change JBR CFSR Jinsha River Basin impact runoff CMADS hydrological modeling aggregated reservoir reanalysis products Lijiang River spatio-temporal uncertainty total nitrogen Han River streamflow simulation meteorological CMADS-ST Erhai Lake Basin uncertainty analysis Biliuhe reservoir hydrological bayesian model averaging blue and green water flows SUFI-2 TMPA-3B42V7 statistical analysis satellite-derived rainfall streamflow satellite-based products Xiang River basin SWAT hydrological simulation PERSIANN-CDR hydrological processes SUFI2 CMADS dataset ParaSol hydrological modelling accumulation meteorological input uncertainty soil moisture content Yellow River SWAT Noah LSM-HMS sediment yield Yalong River TRMM Penman-Monteith IMERG PERSIANN hydrological elements freeze–thaw period land-use change parameter sensitivity China reservoir parameters soil moisture sloping black soil farmland hydrological model SWAT model hydrologic model |
| ISBN | 3-03921-236-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model |
| Record Nr. | UNINA-9910346839103321 |
Meng Xianyong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
| Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management |
| Autore | Kisi Ozgur |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (238 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
groundwater
artificial intelligence hydrologic model groundwater level prediction machine learning principal component analysis spatiotemporal variation uncertainty analysis hydroinformatics support vector machine big data artificial neural network nitrogen compound nitrogen prediction prediction models neural network non-linear modeling PACF WANN SVM-LF SVM-RF Govindpur streamflow forecasting Bayesian model averaging multivariate adaptive regression spline M5 model tree Kernel extreme learning machines South Korea uncertainty sustainability prediction intervals ungauged basin streamflow simulation satellite precipitation atmospheric reanalysis ensemble modeling additive regression bagging dagging random subspace rotation forest flood routing Muskingum method extension principle calibration fuzzy sets and systems particle swarm optimization EEFlux irrigation performance CWP water conservation NDVI water resources Daymet V3 Google Earth Engine improved extreme learning machine (IELM) sensitivity analysis shortwave radiation flux density sustainable development |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557448103321 |
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Kisi Ozgur
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote sensing of precipitation / / special issue editor Silas Michaelides
| Remote sensing of precipitation / / special issue editor Silas Michaelides |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (480 p.) |
| Soggetto topico |
Environmental engineering
Environmental monitoring |
| Soggetto non controllato |
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 |
| ISBN | 3-03921-286-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Remote Sensing of Precipitation |
| Record Nr. | UNINA-9910346860003321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Precipitation: Volume 2
| Remote Sensing of Precipitation: Volume 2 |
| Autore | Michaelides Silas |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (318 p.) |
| Soggetto non controllato |
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 |
| ISBN | 3-03921-288-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Remote Sensing of Precipitation |
| Record Nr. | UNINA-9910346859903321 |
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Michaelides Silas
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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