Advanced

Estimating soil moisture from space - A comparison between soil moisture estimates based on satellite retrievals and the E-HYPE model under drought scenarios in France year 2003 and 2011

Sönegård, Erik LU (2017) In TVVR 17/5008 VVR820 20161
Division of Water Resources Engineering
Abstract
Economic impacts of drought events can amass to billions of Euros within the EU. Ways to estimate the amount of water in the soil is thus very valuable to gather information which could be used for decision making. This thesis looks at different ways to estimate the amount of water in the soil, the so called soil moisture. The E-HYPE model from the Swedish Meteorological and Hydrological Institute (SMHI) is compared to different estimates based on satellite remote sensing technology. The thesis investigates different ways to make comparisons between these types of models and products during drought events in France year 2003 and 2011. The thesis demonstrates that both types of tools can be used to analyze a drought event and that there is... (More)
Economic impacts of drought events can amass to billions of Euros within the EU. Ways to estimate the amount of water in the soil is thus very valuable to gather information which could be used for decision making. This thesis looks at different ways to estimate the amount of water in the soil, the so called soil moisture. The E-HYPE model from the Swedish Meteorological and Hydrological Institute (SMHI) is compared to different estimates based on satellite remote sensing technology. The thesis investigates different ways to make comparisons between these types of models and products during drought events in France year 2003 and 2011. The thesis demonstrates that both types of tools can be used to analyze a drought event and that there is correlation between the different types of data sets. (Less)
Please use this url to cite or link to this publication:
author
Sönegård, Erik LU
supervisor
organization
course
VVR820 20161
year
type
H3 - Professional qualifications (4 Years - )
subject
keywords
soil moisture, drought, hydrological modelling, satellite, E-HYPE model, ESA CCI SM, Copernicus SWI
publication/series
TVVR 17/5008
report number
17/5008
ISSN
1101-9824
language
English
additional info
Examiner: Rolf Larsson
id
8906197
date added to LUP
2017-04-27 06:51:54
date last changed
2019-04-01 13:34:43
@misc{8906197,
  abstract     = {Economic impacts of drought events can amass to billions of Euros within the EU. Ways to estimate the amount of water in the soil is thus very valuable to gather information which could be used for decision making. This thesis looks at different ways to estimate the amount of water in the soil, the so called soil moisture. The E-HYPE model from the Swedish Meteorological and Hydrological Institute (SMHI) is compared to different estimates based on satellite remote sensing technology. The thesis investigates different ways to make comparisons between these types of models and products during drought events in France year 2003 and 2011. The thesis demonstrates that both types of tools can be used to analyze a drought event and that there is correlation between the different types of data sets.},
  author       = {Sönegård, Erik},
  issn         = {1101-9824},
  keyword      = {soil moisture,drought,hydrological modelling,satellite,E-HYPE model,ESA CCI SM,Copernicus SWI},
  language     = {eng},
  note         = {Student Paper},
  series       = {TVVR 17/5008},
  title        = {Estimating soil moisture from space - A comparison between soil moisture estimates based on satellite retrievals and the E-HYPE model under drought scenarios in France year 2003 and 2011},
  year         = {2017},
}