Merging multiple soil moisture products for improving the accuracy in rainfall estimation through SM2RAIN
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The document discusses the use of satellite soil moisture data for rainfall estimation through a new approach called 'sm2rain'. It highlights the algorithm's performance in estimating rainfall accurately by integrating multiple satellite soil moisture products and compares it with traditional methods. The results indicate significant improvement in rainfall estimation, especially beneficial for flood and drought management.
Merging multiple soil moisture products for improving the accuracy in rainfall estimation through SM2RAIN
- 1. http://hydrology.irpi.cnr.it 22 nd Sept. 2016 Luca Brocca, Angelica Tarpanelli, Luca Ciabatta, Christian Massari, Paolo Filippucci, Amarnath Giriraj, Wolfgang Wagner 3rd Satellite Soil Moisture Validation and Application Workshop
- 2. Remote sensing of rainfall RAINGAUGE DENSITY 1 degree resolution CPC dataset 0 2 1 5 10 REVISIT TIME # SATELLITES
- 3. The GPM constellation Synthetic data Observed data The retrieval approach used in GPM is based on a “top-down” approach providing an estimate of the INSTANTANEOUS RAINFALL RATE at the satellite overpass At least, 10 passes per day are needed for obtaining satisfactory performance in estimating 1-day rainfall WHY GPM IS SO SUCCESSFUL IN BUILDING A CONSTELLATION?
- 4. SM2RAIN: a new “bottom-up” approach! SM2RAIN is a new “bottom-up” approach (Brocca et al., 2014 JGR) for estimating the ACCUMULATED RAINFALL from satellite (and in situ) soil moisture observations
- 5. precipitation surface runoff evapotranspiration drainage soil water capacity relative saturation Inverting for p(t): = soil depth X porosity Assuming: + + ONLY during rainfall Soil water balance equation SM2RAIN algorithm 1 equation, 3 parameters (Z,a,b)…very SIMPLE!
- 6. An example with SMAP soil moisture data Red dots: SMAP Level-2 retrievals (descending) Blue histogram: gauge-based rainfall time series (Western U.S.) A lot of rain: SM goes up a lot A little rain: SM goes up a little Just published on WRR: 1st SM2RAIN application to SMAP observations R² map (1-degree, 5-day)
- 7. SM2RAIN application to multiple products
- 8. SM2RAIN application to multiple products
- 9. Metop-A Blu: MetopA+MetopB Red: MetopA Black: rainfall Rainfall events not detected by Metop-A only and correctly identified by using both Metop-A and Metop-B Metop-B What is the potential of a constellation?
- 10. A soil moisture constellation! What is the benefit coming from the integration of multiple satellite soil moisture product for SM2RAIN application? How to perform the integration? Which product/algorithm/band/orbit to include? What spatial/temporal sampling?
- 11. Ground and satellite rainfall datasets India Meteorological Department (IMD) rainfall dataset (1901-currrent) Currently (freely) available satellite soil moisture products 2012 2013 2014 2015 2016 J A J O J A J O J A J O J A J O J A J O ASCAT Metop-A ASCAT Metop-B AMSR2 SMOS SMAP RapidScat Period: 1-April-2015 31-December-2015 Spatial/temporal resolution: 0.25°/1-day Integration at RAINFALL LEVEL (minimization RMSE) ASCAT: Metop-A+Metop-B AMSR2: LPRM algorithm, X-band AMSR2&SMOS: separately asc. and desc. orbits RapidScat: separately HH and VV polarization A similar analysis was also carried out in Italy, results available at http://dx.doi.org/10.13140/RG.2.2.24296.67848
- 12. Performance of single products 5-day correlation maps Low performance in northern India (Himalaya) ASCAT, SMAP and AMSR2 performs very good (median R>0.78) RapidScat is performing less good, likely due to vegetation SMOS is affected by RFI (mainly ascending orbit) during 2015 in India
- 13. Merging multiple SM prods: R and RMSE 3-day and 5-day correlation maps
- 14. Rainfall timeseries Underestimation of large rainfall events due to the saturation problem Overestimation of low rain rates due to noise in satellite soil moisture products
- 15. Comparison with GPM early and final run 1. Significantly better performance than GPM products, also of the final run (gauge-corrected) 2. Product potentially available in near real-time (large potential for flood, drought, landslide applications) GPM final run GPM early run SM2RAIN- multiple SM
- 16. # Journal Year Reference Short description 1 GRL 2013 Brocca, L., Melone, F., Moramarco, T., Wagner, W. (2013). A new method for rainfall estimation through soil moisture observations. Geophysical Research Letters, 40(5), 853-858. First application of SM2RAIN to in situ and satellite data (some locations) 2 JGR 2014 Brocca, L., Ciabatta, L., Massari, C., Moramarco, T., Hahn, S., Hasenauer, S., Kidd, R., Dorigo, W., Wagner, W., Levizzani, V. (2014). Soil as a natural rain gauge: estimating global rainfall from satellite soil moisture data. Journal of Geophysical Research, 119(9), 5128- 5141. SM2RAIN application to ASCAT, AMSR-E and SMOS soil moisture products on a global scale 3 AWR 2014 Massari, C., Brocca, L., Moramarco, T., Tramblay, Y., Didon Lescot, J.-F. (2014). Potential of soil moisture observations in flood modelling: estimating initial conditions and correcting rainfall. Advances in Water Resources, 74, 44-53. Improving runoff prediction by using SM2RAIN-derived rainfall applied to in situ observations (France) 4 JHH 2015 Brocca, L., Massari, C., Ciabatta, L., Moramarco, T., Penna, D., Zuecco, G., Pianezzola, L., Borga, M., Matgen, P., Martínez-Fernández, J. (2015). Rainfall estimation from in situ soil moisture observations at several sites in Europe: an evaluation of SM2RAIN algorithm. Journal of Hydrology and Hydromechanics, 63(3), 201-209. Detailed analysis of SM2RAIN algorithm in 10 sites over Europe (testing of different formulations) 5 JHM 2015 Ciabatta, L., Brocca, L., Massari, C., Moramarco, T., Puca, S., Rinollo, A., Gabellani, S., Wagner, W. (2015). Integration of satellite soil moisture and rainfall observations over the Italian territory. Journal of Hydrometeorology, 16(3), 1341-1355. Integration of top-down (TRMM 3B42RT) and bottom-up (SM2RAIN) approaches over Italy 6 JAG 2016 Ciabatta, L., Brocca, L., Massari, C., Moramarco, T., Gabellani, S., Puca, S., Wagner, W. (2016). Rainfall-runoff modelling by using SM2RAIN-derived and state-of-the-art satellite rainfall products over Italy. International Journal of Applied Earth Observation and Geoinformation, 48, 163-173. Improving runoff prediction by using SM2RAIN-derived rainfall applied to satellite observations (4 basins in Italy) 7 JSTARS 2016 Brocca, L., Massari, C., Ciabatta, L., Wagner, W., Stoffelen, A. (2016). Remote sensing of terrestrial rainfall from Ku-band scatterometers. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(1), 533-539. Application of SM2RAIN to Ku-band scatterometer data (RapidSCAT) in central Italy 8 ATMRES 2016 Abera, W., Brocca, L., Rigon, R. (2016). Comparative evaluation of different satellite rainfall estimation products and bias correction in the Upper Blue Nile (UBN) basin. Atmospheric Research, 178-179, 471-483. Application of SM2RAIN to ESA CCI soil moisture product in Ethiopia 9 WRR 2016 Koster, R.D., Brocca, L., Crow, W.T., Burgin, M.S., De Lannoy, G.J.M. (2016). Precipitation Estimation Using L-Band and C-Band Soil Moisture Retrievals. Water Resources Research, in press. Application of SM2RAIN to SMAP, SMOS and ASCAT on a global scale 10 JGR Minor rev Brocca, L., Pellarin, T., Crow, W.T., Ciabatta, L., Massari, C., Ryu, D., Su, C.-H., Rudiger, C., Kerr, Y. (...). Rainfall estimation by inverting SMOS soil moisture estimates: a comparison of different methods over Australia. submitted to Journal of Geophysical Research. Application of three methods for rainfall estimation from SMOS in Australia 11 HESS Subm. Abera, W., Formetta, G., Brocca, L., Rigon, R. (...). Water budget modelling of the Upper Blue Nile basin using the JGrass-NewAge model system and satellite data. Hydrology and Earth System Sciences Discussion, in review, doi:10.5194/hess-2016-290. http://dx.doi.org/10.5194/hess-2016-290 Use of SM2RAIN rainfall for water budget modelling in ungauged areas 12 JoH Minor rev. Ciabatta, L., Marra, A.C., Panegrossi, G., Casella, D., Sanò, P., Dietrich, S., Massari, C., Brocca, L. (...) Analysis of daily rainfall over Italy from satellite microwave-based precipitation products. submitted to Journal of Hydrology. Integration of top-down (CDRD-PNPR) and bottom-up (SM2RAIN) approaches over Italy, an update 13 JSTARS Subm. Brocca, L., Crow, W.,T. Ciabatta, L., Massari, C., de Rosnay, P., Enenkel, M., Hahn, S., Amarnath, G., Camici, S., Tarpanelli, A., Wagner, W. (...). A review of the applications of scatterometer soil moisture data. submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Review of scatterometer soil moisture applications with recent results of SM2RAIN 1 TCD 2014 Pan, X., Yu, Q., and You, Y. (2014). Role of rainwater induced subsurface flow in water-level dynamics and thermoerosion of shallow thermokarst ponds on the Northeastern Qinghai–Tibet Plateau, The Cryosphere Discuss., 8, 6117-6146. Application of SM2RAIN for estimating rainfall from in situ soil moisture observations 2 HESS Subm. Beck, H. E., van Dijk, A. I. J. M., Levizzani, V., Schellekens, J., Miralles, D. G., Martens, B., and de Roo, A. (…). MSWEP: 3-hourly 0.25° global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data. Hydrology and Earth System Sciences Discussion, in review, doi:10.5194/hess-2016-236. Independent global scale assessment of SM2RAIN- ASCAT rainfall product FOR FURTHER INFORMATION URL: http://hydrology.irpi.cnr.it/people/l.brocca URL IRPI: http://hydrology.irpi.cnr.it