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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  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
Autore Lee Saro
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (438 p.)
Soggetto non controllato artificial neural network
model switching
sensitivity analysis
neural networks
logit boost
Qaidam Basin
land subsidence
land use/land cover (LULC)
naïve Bayes
multilayer perceptron
convolutional neural networks
single-class data descriptors
logistic regression
feature selection
mapping
particulate matter 10 (PM10)
Bayes net
gray-level co-occurrence matrix
multi-scale
Logistic Model Trees
classification
Panax notoginseng
large scene
coarse particle
grayscale aerial image
Gaofen-2
environmental variables
variable selection
spatial predictive models
weights of evidence
landslide prediction
random forest
boosted regression tree
convolutional network
Vietnam
model validation
colorization
data mining techniques
spatial predictions
SCAI
unmanned aerial vehicle
high-resolution
texture
spatial sparse recovery
landslide susceptibility map
machine learning
reproducible research
constrained spatial smoothing
support vector machine
random forest regression
model assessment
information gain
ALS point cloud
bagging ensemble
one-class classifiers
leaf area index (LAI)
landslide susceptibility
landsat image
ionospheric delay constraints
spatial spline regression
remote sensing image segmentation
panchromatic
Sentinel-2
remote sensing
optical remote sensing
materia medica resource
GIS
precise weighting
change detection
TRMM
traffic CO
crop
training sample size
convergence time
object detection
gully erosion
deep learning
classification-based learning
transfer learning
landslide
traffic CO prediction
hybrid model
winter wheat spatial distribution
logistic
alternating direction method of multipliers
hybrid structure convolutional neural networks
geoherb
predictive accuracy
real-time precise point positioning
spectral bands
ISBN 3-03921-216-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367564103321
Lee Saro  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Remote Sensing by Satellite Gravimetry
Remote Sensing by Satellite Gravimetry
Autore Gruber Thomas
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (286 p.)
Soggetto topico Research & information: general
Soggetto non controllato terrestrial water storage (TWS)
GRACE
GLDAS
TRMM
drought
ENSO
NAO
Turkey
Mass balance
Ice Sheets
Sea-level Rise
Antarctica
CryoSat-2
GRACE-Follow On
GRACE-FO
downward continuation
spectral methods
gravity field recovery
GRACE Follow-On
orbit configuration
synergistic observation
mass transport in the Earth system
GRACE and GRACE follow-on mission
current and future observation concepts and instruments
GRACE TWSA
groundwater level anomaly
downscaling
machine learning
boosted regression trees
glacial sediment
ice mass
satellite gravimetry
Patagonia
ice mass change
SLR
swarm
normal equation combination
coseismic gravity gradient changes
gravity field model
GOCE
Earth’s gravity field
kinematic orbit
kinematic baseline
time-variable gravity
geocenter
reference frames
self-attraction and loading
Level-2 processing
time-variable gravity field
mass change monitoring
next-generation gravity mission
temporal gravity field
numerical closed-loop simulation
satellite mission constellations
mass transport
gravity field satellite missions
GOCE High-Level Processing Facility (HPF), earth gravity field
geoid
spectral enhancement method (SEM), GPS/leveling
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557772303321
Gruber Thomas  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing in Hydrology and Water Resources Management
Remote Sensing in Hydrology and Water Resources Management
Autore Duan Weili
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (487 p.)
Soggetto topico Research & information: general
Soggetto non controllato precipitation datasets
evaluation
spatial scale
temporal scale
climate
Yellow River Basin
data assimilation
WRF
WRFDA
3DVar
water levels
surface areas
volume variations
hypsometry
bathymetry
lakes
reservoirs
remote sensing
DAHITI
modified strahler approach
airborne LiDAR
DEM
flood inundation
flood map
flood model
LiDAR
terrestrial LiDAR
evapotranspiration
variability
uncertainty
unmanned aerial system
sUAS
multispectral
viticulture
water resources management
California
lake
Tibetan Plateau
hydrological changes
water balance
Chindwin basin
hydrological modelling
multi-variable calibration
satellite-based rainfall product
TRMM
temporal resolution
rainfall erosivity
combined approach
multi-objective optimization
modeling uncertainty
model constraint
SWAT
semiarid area
hydrological variations
normalized difference vegetation index
total water storage change
groundwater change
extreme precipitation
estimation
TMPA 3B42-V7
regional frequency analysis
China
satellite datasets
accuracy evaluation
hydrological applicability
Bosten Lake Basin
actual evapotranspiration
available water resources
climate change
vegetation greening
VIP-RS model
Lancang-Mekong river basin
MSWEP
AgMERRA
APHRODITE
CHIRPS
PERSIANN
error correction
agricultural water management
crop water consumption
remote sensing model
evapotranspiration allocation
inland water
IWCT
Tianjin
Landsat data
Tarim River Basin
desert-oasis ecotone
land-use change
CA-Markov model
remote sensing in hydrology
precipitation
performance evaluation
GPM
Poyang Lake
Yangtze River
assimilation
nonparametric modeling
multi-source
landscape pattern
spatiotemporal changes
influencing factors
watershed
China SE
satellite data
LUE-GPP
SPEI
copula function
conditional probability
soil moisture
neural network
downscaling
microwave data
MODIS data
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557632803321
Duan Weili  
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
Opac: Controlla la disponibilità qui
Remote Sensing of Precipitation: Part II
Remote Sensing of Precipitation: Part II
Autore Michaelides Silas
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (594 p.)
Soggetto topico Research & information: general
Soggetto non controllato Northern China
raindrop size distribution (DSD)
microphysical processes
quantitative precipitation estimation (QPE)
satellite-based precipitation
elevation
extreme events
IMERG-V05B and V06A
MSWEP
ERA5
SM2RAIN
precipitation estimation
soil moisture
SM2RAIN-CCI
SM2RAIN-ASCAT
multi-satellite precipitation analysis (TMPA)
error decomposition
complex topography
diverse climate
gauge data
IMERG
TAHMO
morphing
field displacement
TIGGE
precipitation
numerical weather prediction
satellite
flood
spring 2019
Iran
GPM IMERG
satellite precipitation
spatiotemporal analysis
statistical distribution
validation
Mainland China
GSMaP_NRT
GSMaP_Gauge_NRT
raindrop size distribution
radar reflectivity
raindrop spectrometer
semi-arid area
assessment
Taiwan
data assimilation
WRF model
high-impact rainfall events
GNSS ZTD
optimum interpolation
geographically weighted regression
downscaling
Tianshan Mountains
satellite precipitation products
evaluation
daily rainfall
hourly rainfall
GPM
TRMM
GNSS
GNSS antenna
receiver antenna calibration
relative calibration
Phase Center Variation
U-blox
goGPS
Zenith Tropospheric Delay
ZED-F9P
GSMaP
Nepal
cloud radar
thunderstorm
LDR
hydrometeor
hydrometeor classification
lightning
discharge
remote sensing
SEVIRI
ground radar
precipitation interpolation
geographically and temporally weighted regression
time weight function
geographically and temporally weighted regression kriging
extreme rainfall
polarimetric radar signatures
quantitative precipitation estimation
southern china
reanalysis
linear trends
mainland China
EDBF algorithm
geospatial predictor
spatial pattern
weighted precipitation
Cyprus
bias correction
object-based method
storm events
Thies
disdrometer
weather circulations
convective
stratiform
rain spectra
radar reflectivity-rain rate relationship
gridded precipitation products
abrupt changes
trends
statistical indicators
agriculture
Pakistan
rainfall
radar
extreme precipitation
spatial bootstrap
Louisiana
annual maxima
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Remote Sensing of Precipitation
Record Nr. UNINA-9910557704903321
Michaelides Silas  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Michaelides Silas  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical Analysis and Stochastic Modelling of Hydrological Extremes
Statistical Analysis and Stochastic Modelling of Hydrological Extremes
Autore Tabari Hossein
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (294 p.)
Soggetto non controllato artificial neural network
downscaling
innovative methods
reservoir inflow forecasting
simulation
extreme events
climate variability
sparse monitoring network
weighted mean analogue
sampling errors
precipitation
drought indices
discrete wavelet
SWSI
hyetograph
trends
climate change
SIAP
Kabul river basin
Hurst exponent
extreme rainfall
evolutionary strategy
the Cauca River
hydrological drought
global warming
least square support vector regression
polynomial normal transform
TRMM
satellite data
Fiji
heavy storm
flood regime
compound events
random forest
uncertainty
seasonal climate forecast
INDC pledge
Pakistan
wavelet artificial neural network
HBV model
temperature
APCC Multi-Model Ensemble
meteorological drought
flow regime
high resolution
rainfall
clausius-clapeyron scaling
statistical downscaling
ENSO
forecasting
variation analogue
machine learning
extreme rainfall analysis
hydrological extremes
multivariate modeling
monsoon
non-stationary
support vector machine
ANN model
stretched Gaussian distribution
drought prediction
non-normality
statistical analysis
extreme precipitation exposure
drought analysis
extreme value theory
streamflow
flood management
ISBN 3-03921-665-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367749703321
Tabari Hossein  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui