There is a newer version of the record available.

Published March 12, 2019 | Version 1.0
Dataset Open

SM2RAIN-ASCAT (2007-2018): global daily satellite rainfall from ASCAT soil moisture

Description

SM2RAIN-ASCAT is a new global scale rainfall product obtained from ASCAT satellite soil moisture data through the SM2RAIN algorithm (Brocca et al., 2014). The SM2RAIN-ASCAT rainfall dataset (in mm/day) is provided over an irregular grid at 12.5 km on a global scale. The product represents the cumulated rainfall between the 00:00 and the 23:59 UTC of the indicated day. The SM2RAIN method was applied to the ASCAT soil moisture product (Wagner et al., 2013) for the period from January 2007 to December 2018 (12 years).

The rainfall dataset is provided in netCDF format. A total of 12 netCDF files, one per year, are provided. The quality flag provided with the dataset has been used to mask out low quality data, as well as the areas characterised by complex topographic, frozen soil, and presence of tropical forests.

A GeoTIFF version of the dataset is available here: https://zenodo.org/record/2615279

A sample dataset that can be used for testing SM2RAIN algorithm is available here: https://zenodo.org/record/2580285

Details on the dataset development and its assessment with ground and reanalysis observations are provided as:

Brocca, L., Filippucci, P., Hahn, S., Ciabatta, L., Massari, C., Camici, S., Schüller, L., Bojkov, B., and Wagner, W. (2019). SM2RAIN-ASCAT (2007–2018): global daily satellite rainfall from ASCAT soil moisture, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-48, in review.

Acknowledgements

  • EUMETSAT Global SM2RAIN project (contract n° EUM/CO/17/4600001981/BBo)
  • EUMETSAT “Satellite Application Facility on Support to Operational Hydrology and Water Management (H SAF)” CDOP 3 (EUM/C/85/16/DOC/15).

Simple Python and Matlab codes for the extraction of SM2RAIN-ASCAT rainfall at one and multiple station(s) \location(s) are available at: https://github.com/IRPIhydrology/SM2RAIN_ASCAT_reader

Files

Files (3.6 GB)

Name Size Download all
md5:faaeb4975660e30f37f561cef13dc10e
289.5 MB Download
md5:021d4a485c67484f2fb525e05cc92910
294.5 MB Download
md5:6079dadfa25987ce7087965b7e3e4cb2
294.4 MB Download
md5:69018fbf4e2e8c232e151187f7a91644
298.9 MB Download
md5:29a35afc8fa795026cd99b8c131cac1a
298.6 MB Download
md5:e73281f2cef65c1d997ca30135f1199d
298.3 MB Download
md5:d0a6c9bcb3d5c36e5a508ab38b0fe769
303.2 MB Download
md5:e54ea4cf54ea0f42e5595a6a6f969a28
307.6 MB Download
md5:a39c198b253f75741e2ee4db4270a324
306.3 MB Download
md5:8bfab18530c06533939343e5e6a92285
311.4 MB Download
md5:f534eb279f7daf2c9d5b6321a9023f56
310.2 MB Download
md5:f3b5d57770e738a30bfac94699099bbb
309.1 MB Download

Additional details

Related works

Is referenced by
10.5194/essd-2019-48 (DOI)

References

  • Brocca, L., Filippucci, P., Hahn, S., Ciabatta, L., Massari, C., Camici, S., Schüller, L., Bojkov, B., and Wagner, W. (2019). SM2RAIN-ASCAT (2007–2018): global daily satellite rainfall from ASCAT soil moisture, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-48, in review.
  • 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, doi:10.1002/2014JD021489.
  • Wagner, W., Hahn, S., Kidd, R., Melzer, T., Bartalis, Z., Hasenauer, S., Figa, J., de Rosnay, P., Jann, A., Schneider, S., Komma, J., Kubu, G., Brugger, K., Aubrecht, C., Zuger, J., Gangkofner, U., Kienberger, S., Brocca, L., Wang, Y., Bloeschl, G., Eitzinger, J., Steinnocher, K., Zeil, P., Rubel, F. (2013). The ASCAT Soil Moisture Product: A Review of its Specifications, Validation Results, and Emerging Applications. Meteorologische Zeitschrift, 22(1), 5-33, doi:10.1127/0941-2948/2013/0399.