Remote Sensing of Precipitation: Part II

Precipitation is a well-recognized pillar in the global water and energy balances. The accurate and timely understanding of its characteristics at the global, regional and local scales is indispensable for a clearer insight on the mechanisms underlying the Earth’s atmosphere-ocean complex system. Pr...

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Year of Publication:2021
Language:English
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spelling Michaelides, Silas edt
Remote Sensing of Precipitation: Part II
Remote Sensing of Precipitation
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
1 electronic resource (594 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Precipitation is a well-recognized pillar in the global water and energy balances. The accurate and timely understanding of its characteristics at the global, regional and local scales is indispensable for a clearer insight on 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 the 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. This volume hosts original research contributions on several aspects of remote sensing of precipitation, including applications which embrace the use of remote sensing in tackling issues such as precipitation estimation, seasonal characteristics of precipitation and frequency analysis, assessment of satellite precipitation products, storm prediction, rain microphysics and microstructure, and the comparison of satellite and numerical weather prediction precipitation products.
English
Research & information: general bicssc
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
3-0365-2327-8
3-0365-2328-6
Michaelides, Silas oth
language English
format eBook
author2 Michaelides, Silas
author_facet Michaelides, Silas
author2_variant s m sm
author2_role Sonstige
title Remote Sensing of Precipitation: Part II
spellingShingle Remote Sensing of Precipitation: Part II
title_full Remote Sensing of Precipitation: Part II
title_fullStr Remote Sensing of Precipitation: Part II
title_full_unstemmed Remote Sensing of Precipitation: Part II
title_auth Remote Sensing of Precipitation: Part II
title_alt Remote Sensing of Precipitation
title_new Remote Sensing of Precipitation: Part II
title_sort remote sensing of precipitation: part ii
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2021
physical 1 electronic resource (594 p.)
isbn 3-0365-2327-8
3-0365-2328-6
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