Assimilation of Remote Sensing Data into Earth System Models |
Autore | Calvet Jean-Christophe |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (236 p.) |
Soggetto non controllato |
land data assimilation system
land data assimilation rainfall-runoff simulation 4D-Var data assimilation total water storage accuracy ocean–atmosphere assimilation precipitation Earth system models numerical weather prediction fluorescence GRACE MCA analysis weakly coupled data assimilation GPM IMERG atmospheric models rainfall correction remote sensing microwave remote sensing SMAP land surface modeling bending angle floods soil moisture vegetation GPSRO WRF merged CMORPH land surface model temperature 4D-Var data assimilation data-driven methods GSI radio occultation data rainfall soil moisture sea level anomaly total cloud cover land surface models Mediterranean basin interpolation sea surface height drought TRMM 3B42 analog data assimilation ocean models |
ISBN | 3-03921-641-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910367743703321 |
Calvet Jean-Christophe
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Evapotranspiration (ET) |
Autore | Gowda Prasanna |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (240 p.) |
Soggetto non controllato |
Eddy-covariance
surface energy balance model evapotranspiration Oklahoma Mesonet Chi river basin SADFAET a stratification method ecosystem management process-based model heterogeneous conditions land surface temperature ETMonitor model latent heat flux multi-source water resources management remote sensing ET fusion Google Earth Engine water stress component temperature decomposition data fusion Mun river basin Murrumbidgee River catchment remote-sensing Thailand uncertainty field-scale partition land surface model two-source energy balance model Surface Energy Balance System China evapotranspiration partitioning yield calibration unmixing-based method Landsat 8 eddy covariance observations METRIC MODIS surface energy balance algorithm for land (SEBAL) West Africa MPDI-integrated SEBS STARFM multi-source satellite data |
ISBN | 3-03921-603-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Remote Sensing of Evapotranspiration |
Record Nr. | UNINA-9910367754003321 |
Gowda Prasanna
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Snow and Its Applications |
Autore | Nadir Arslan Ali |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (190 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
near-infrared reflectance
specific surface area spectrometer snow microstructure aerodynamic roughness length terrestrial lidar snow surface topography wind profile snow energy balance snow accumulation snow cover snow depletion curve MODIS data assimilation land surface model COST Action ES1404 HarmoSnow snow measurements snow models remote sensing snow SWE LWC run-off modelling hydropower application GNSS EO snow cover duration persistent and intermittent snow optical remote sensing northern Mongolia SAR transient snowline annual AAR mass balance Rofental glaciers fractional snow cover terrestrial photography cold regions Sentinel-2 H-SAF webcam photography snow parameters spatial and temporal variability of snow snow hydrology integration of remote sensing with models (hydrological land surface meteorological and climate) |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557748203321 |
Nadir Arslan Ali
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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