Upload
dangdiep
View
222
Download
0
Embed Size (px)
Citation preview
http://hydrology.irpi.cnr.it
19 th July 2016WORKSHOP ESA/CLIMATE CHANGE INITIATIVE (CCI+)
Research Institute for Geo-Hydrological ProtectionNational Research CouncilVia Madonna Alta, 12606128 PerugiaItaly
Angelica Tarpanelli, Luca Brocca, Christian Massari, Luca Ciabatta, Stefania Camici, Silvia Barbetta, Tommaso Moramarco
Contacts:[email protected]
HERITAGE OF RELEVANT ACTIVITIES TO THE CCI+ PROGRAMME
PUBLICATIONS• 30 papers in the last 3 years in high-level journals* satellite soil moisture product validation soil moisture assimilation in hydrological
modelling (floods, drought, landslides, …) rainfall estimation from soil moisture
• high number of citations (e.g., Citation on NATURERESEARCH HIGHLIGHT: Detecting rainfall from thebottom up. Nature, 509, 262–263)
• freely available source codes and products• 15+ invited/keynote presentations at international conferences• steering and scientific committee at international conferences• collaborations with 20+ National & International institutes
*e.g., Brocca L et al. (2014). Soil as a natural rain gauge: estimating global rainfall from satellite soil moisture data. Journal of Geophysical Research
PUBLICATIONS• 10 papers in the last 3 years in high-level journals* river discharge estimation by merging of
different sensors flooded areas assessment by SAR flood forecasting
+500 K€ / last 3 years60 K€ / last 2 years
PROJECTSESA STSENASA (SMAP, GPM)EUMETSAT EU programs
PROJECTSESA SEOMNASA (SWOT)
*e.g., Tarpanelli A, Brocca L, et al. (2013). Toward the estimation of river discharge variations using MODIS data in ungauged basins. Remote Sensing of Environment
Additional scope: v . Update and consolidation of the GCOS requirements for river discharge, lakes and soil moisture (reports GCOS-32 and GCOS-154)
(Peer review publications and contributions to IPCC and COP)
ACTIVITIES TO BE PROPOSED TO THE CCI+ PROGRAMME
ACTIVITIES TO BE PROPOSED TO THE CCI+ PROGRAMME
proposed by CNR-IRPI
ACTIVITIES TO BE PROPOSED TO THE CCI+ PROGRAMME
• Long-term analysis, assessment and development of SM2RAIN-derived rainfall products starting from multiple satellite soil moisture products:
oCCI soil moistureoRecent missions (SMOS, SMAP, Sentinel-1)
• Development of long time series of lake level and surface area (essential for lake volume variation estimate), river water level and discharge through the integration of multiple sensors:
oRadar altimetryoOpticaloSAR
• Exploitation of the newly developed products for hydrological applications addressing natural hazard mitigation (floods, drought, landslides)
• Update and consolidate the GCOS requirements
Brocca L., Ciabatta L., Massari C., et al. 2014. Soil as a natural rain gauge: estimating global rainfall from satellite soil moisture data, Journal of Geophysical Research.
SOIL MOISTURE derived rainfall (via SM2RAIN)
OBSERVED rainfall (GPCP)
Wat
er L
evel
Ano
mal
y [m
]
Altimetry multi-mission time series
Daily in situ time series
Tourian M., Tarpanelli A., et al. 2016. Spatiotemporal densification of river water level time series by multimission satellite altimetry, Water Resources Research.
POSITION OF THE ACTIVITIES IN THE INTERNATIONAL CONTEXT
State of the art:Classical products provide instantaneous estimates that cannot guarantee a right estimation of accumulated rainfall essential for hydrological studies.
Added value:• SM2RAIN algorithm is very recent and provides
an estimation of the accumulated rainfall. First promising studies highlight the capability to provide long-term rainfall dataset for climate applications (Abera, Brocca, L., et al. HESS)
• Exploitation of new satellite soil moisture missions (SMAP, SMOS, Sentinel-1)
Main collaborations:TUWIEN (Austria)Deltares (The Netherlands)ETH (Switzerland)JPL, USDA, NASA (USA)NILU (Norway)
State of the art:River discharge and lake volume are usually obtained from in situ gauged station but recently the monitoring network is declining.
Added value:A completely innovative approach to provide a long term dataset useful for climate and long period studies on river discharge and water volume variation of lakes through the optimal exploitation and integration of multi-mission products.
Main collaborations:LEGOS/CNES (France)CLS (France)DTU (Denmark)University of Stuttgart (Germany)University of Newcastle (UK)
Brocca L., Massari C., Tarpanelli A., et al. A review of the applications of scatterometer soil moisture data. submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
Global correlation between observed and estimated rainfall
SOIL MOISTURE derived rainfall (via SM2RAIN)
State-of-the-art rainfall product (TRMM 3B42RT)
Median R (+/-50°)=0.66
Median R (+/-50°)=0.55
Tarpanelli A., Brocca L., Massari C., et al. Discharge estimation and forecasting by MODIS and ENVISAT data in Niger-Benue River. submitted to Remote Sensing of Environment.
ENVISAT
Temporally dense information is essential for flood forecasting
BENEFITS FOR ITALY
1. Interest for the hydrological community to use satellite sensors for ungauged sites forestimating long time series and derive climatic trends, for Lakes (a CCI+ ECV), RiverDischarge (to be proposed by ASI to ESA CCI+ on behalf of IRPI). IRPI can be the primecontractor, leading an international team to tackle climatic trends in river dischargeworldwide.
2. Use of the developed products for natural disaster monitoring and management (theresponsible authorities, Civil protection and regional authorities have already manifestedtheir interest). The soil moisture based rainfall estimates have proved to be particularlyuseful for improving floods and landslides prediction.
3. Increased importance of the role of Italy in similar projects (H-SAF, SAF for hydrologyfrom EUMETSAT, ESA STSE, SEOM) through the experience developed with the CCI+teams.
4. New contribution to CCI+ from Italy which could open new collaborations and attractfunds from other related projects.
5. Italian labs’ increased skills to boost their international recognition in order to increasefund attractivity (e.g. H2020).
ACKNOWLEDGEMENT: Jérôme Benveniste Senior Advisor, ESA/ESRIN