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Measurement Uncertainty and Error Propagation
of Satellite-based Precipitation Sensors


Project Description Data Visualization and Download
Philosophy, Methodology and Data Publications and Presentations
Progresses and New Results References

Recent Publications

  1. Esmaili, R., Y. Tian, and D. Vila, 2015: A Lagrangian analysis of cloud clusters and their life cycles with satellite observations, J. Geophys. Res., submitted.

  2. Tian, Y., C. D. Peters-Lidard, K. W. Harrison, Y. You, S. Ringerud, S. V. Kumar, and J. F. Turk, 2015: An examination of methods for estimating land surface microwave emissivity, J. Geophys. Res., 120, doi: 10.1002/2015JD023582.

  3. Harrison, K., Y. Tian, C. Peters-Lidard, S. Ringerud, and S. Kumar, 2015: Calibration to improve forward model simulation of microwave emissivity at GPM frequencies over the U.S. Southern Great Plains, IEEE Trans. Geophys. Remote Sens,, 54(2), doi: 10.1109/TGRS.2015.2474120.

  4. Tian, Y., G. Nearing, C. Peters-Lidard, K. Harrison, and L. Tang, 2016: Performance metrics, error modeling, and uncertainty quantification, Mon. Wea. Rev., 144, 607-613, doi:10.1175/MWR-D-15-0087.1.[PDF]

  5. Chen, S., Y. Hong, Y. Tian, A. Behrangi, A. Bao, J. Hu, Z. Zhang, and Y. Shen, 2015: Precipitation spectra analysis over china with high-resolution measurements from optimally-merged satellite/gauge observations -- Part I: Spatial and seasonal analysis. IEEE JSTARS, submitted.

  6. Norouzi, H., M. Temimi, C. Prigent, J. Turk, R. Khanbilvardi, Y. Tian, F. Furuzawa, and H. Masunaga, 2015: Assessment of the consistency among global microwave land surface emissivity products, Atmos. Meas. Tech., 8, doi:10.5194/amt-8-1197-2015.

  7. Yatheendradas, S., D. Kirschbaum, Y. Tian, V. Maggioni, S. Kumar, and C. Peters-Lidard, 2014: Evaluation of satellite rainfall for physically-based landslide modeling applications: examples over the Washington State region, J. Hydrometeor., submitted.

  8. Chen, S., Y. Hong, Q. Cao, Y. Tian, J. Hu, X. Zhang, W. Li, N. Carr, X. Shen, and L. Qiao, 2015: Intercomparison of precipitation estimates from WSR-88D radar and TRMM measurement over continental United States, IEEE Trans. Geophys. Remote Sens,, 53(8), 4444-4456, doi: 10.1109/TGRS.2015.2399307.

  9. Chen, S., J. Zhang, E. Mullens, Y. Hong, A. Behrangi, Y. Tian, X. Hu, J. Hu, Z. Zhang, and X. Zhang, 2015: Mapping the precipitation type distribution over the contiguous United States using NOAA/NSSL National Multi-sensor Mosaic QPE, IEEE Trans. Geophys. Remote Sens,, 53(8), 4434-4443, doi:10.1109/TGRS.2015.2399015.

  10. Nearing, G., Y. Tian, H. Gupta, and K. Harrison, 2014: Placing the epistemology of hydrological uncertainty in context, Hydrol. Sci. J., submitted.

  11. Tian, Y., C. D. Peters-Lidard, K. W. Harrison, S. V. Kumar, and S. Ringerud, 2014: Land surface microwave emissivity dynamics: Observations, analysis and modeling. Microwave Radiometry and Remote Sensing of the Environment (MicroRad), 2014 13th Specialist Meeting on, 99 - 102, doi:10.1109/MicroRad.2014.6878917.

  12. Chen, S., Y. Hong, G. Tang, A. Behrangi, Y. Tian, and J. Hu, 2014: Performance of Global Satellite Mapping of Precipitation estimates during heavy precipitation events over Northern China, J. Meteor. Soc. Japan, submitted.

  13. Tang, L, Y. Tian, F. Yan, and E. Habib, 2015: An improved procedure for the validation of satellite-based precipitation estimates, Atmos. Res., 163, DOI: 10.1016/j.atmosres.2014.12.016. [PDF]

  14. Prigent, C., P. Liang, Y. Tian, F. Aires, J.-L. Moncet, and S.-A. Boukabara, 2015: Evaluation of modeled microwave land surface emissivities with satellite-based estimates, J. Geophys. Res., 120, 2706-2718, doi: 10.1002/2014JD021817.

  15. Yong, B., D. Liu, J. Gourley, Y. Tian, G. Huffman, L. Ren, and Y. Hong, 2015: Global view of real-time TRMM Multi-satellite Precipitation Analysis: implication to its successor Global Precipitation Measurement mission, Bull. Ameri. Meteor. Soc., 96, 283-296. doi: 10.1175/BAMS-D-14-00017.1.

  16. Tang, L, Y. Tian, and X. Lin, 2014: Validation of precipitation retrievals from satellite-based passive microwave sensors, J. Geophys. Res., 119, doi:10.1002/2013JD020933.

  17. Tian, Y., Y. Liu, K. R. Arsenault, and A. Behrangi, 2014: A new approach to satellite-based estimation of precipitation over snow cover, Int. J. Remote Sens., 35, 4940-4951, doi:10.1080/01431161.2014.930208. [PDF]

  18. Wu, H., R. F. Adler, Y. Tian, G. Huffman, H. Li, and J. J. Wang, 2014: Real-time global flood estimation using satellite-based precipitation and a coupled land surface and routing model, Water Resour. Res., 50, 2693-2717, doi:10.1002/2013WR014710.

  19. Behrangi, A., Y. Tian, B. H. Lambrigtsen, and G. Stephens, 2014: What does CloudSat reveal about global land precipitation detection from space? Water Resour. Res., 50, doi:10.1002/2013WR014566.

  20. Maggioni, V., M. R. P. Sapiano, R. F. Adler, Y. Tian, G. J. Huffman, 2014: An error model for uncertainty quantification in high-time resolution precipitation products, J. Hydrometeor., 15, 1274-1292, doi: 10.1175/JHM-D-13-0112.1.

  21. Chen, S., Y. Hong, J. J. Gourley, G. J. Huffman, Y. Tian, Q. Cao, B. Yong, P. E. Kirstetter, J. Hu, J. Hardy, Z. Li, S. Khan, and X. Xue, 2013: Evaluation of the successive V6 and V7 TRMM Multi-satellite Precipitation Analysis over the continental United States, Water Resour. Res., 49, 8174-86, doi:10.1002/2012WR012795.

  22. Chen, S., Y. Hong, Q. Cao, J. J. Gourley, P. E. Kirstetter, B. Yong, Y. Tian, Z. Zhang, Y. Shen, and J. Hardy, 2013: Similarity and difference of the two successive V6 and V7 TRMM Multi-satellite Precipitation Analysis (TMPA) performance over China, J. Geophys. Res., 118, 13,060-74, doi:10.1002/2013JD019964.

  23. Tian, Y., G. Huffman, R. Adler, L. Tang, M. Sapiano, V. Maggioni, and H. Wu, 2013: Modeling errors in daily precipitation measurements: additive or multiplicative? Geophys. Rev. Lett., 40, doi:10.1002/grl.50320.[PDF]

  24. Yong, B., L. Ren, Y. Hong, J. Gourley, Y. Tian, G. Huffman, X. Chen, W. Wang, and Y. Wen, 2013: First evaluation of the climatological calibration algorithm in the real-time TMPA-RT precipitation estimates over two basins at high and low latitudes, Water Resour. Res., 49, doi:10.1002/wrcr.20246.

  25. Liu, Y., C. Peters-Lidard, S. V. Kumar, J. L. Foster, M. Shaw, Y. Tian, and G. M. Fall, 2013: Assimilating satellite-based snow depth and snow cover products for improving snow predictions in Alaska, Adv. Water Resour., doi:10.1016/j.advwatres.2013.02.005

  26. Ringerud, S., C. Kummerow, C. Peters-Lidard, Y. Tian, and K. Harrison, 2013: A comparison of microwave window channel retrieved and forward-modeled emissivities over the US Southern Great Plains, IEEE Trans. Geophys. Remote Sens., doi:10.1109/TGRS.2013.2260759.

  27. Chen, S., P. E. Kirstetter, Y. Hong, J. J. Gourley, Y. D. Tian, Y. C. Qi, Q. Cao, J. Zhang, K. Howard, J. J. Hu, X. W. Xue, 2013: Evaluation of spatial errors of precipitation rates and types from NASA/JAXA space-borne radar over the southern United States. J. Hydrometeor., doi:10.1175/JHM-D-13-027.1.

  28. Ferraro, R., C. Peters-Lidard, C. Hernandez, F. J. Turk, F. Aires, C. Prigent, X. Lin, S. Boukabara, F. Furuzawa, K. Gopalan, K. Harrison, F. Karbou, L. Li, C. Liu, H. Masunaga, L. Moy, S. Ringerud, G. Skofronick-Jackson, Y. Tian, and N.-Y. Wang, 2013: An evaluation of microwave land surface emissivities over the continental United States to benefit GPM-era precipitation algorithms, IEEE Trans. Geophys. Remote Sens., 51, 378-398, doi:10.1109/TGRS.2012.2199121.

  29. Tian, Y., C. D. Peters-Lidard, K. W. Harrison, C. Prigent, H. Norouzi, F. Aires, S.-A. Boukabara, F. A. Furuzawa, and H. Masunaga, 2013: Quantifying uncertainties in land surface microwave emissivity retrievals. IEEE Trans. Geophys. Remote Sens., doi:10.1109/TGRS.2013.2244214.

  30. Gebregiorgis, A., Y. Tian, C. D. Peters-Lidard, and F. Hossain, 2012: Tracing hydrologic model simulation error as a function of satellite rainfall estimation bias components and land use and land cover conditions, Water Resources Res., 48, W11509, doi:10.1029/2011WR011643.

  31. Habib, E., A. T. Haile, Y. Tian, and R. J. Joyce, 2012: Evaluation of the high-resolution CMORPH satellite-rainfall product using dense rain gauge observations and radar-based estimates, J. Hydrometeor., 13, 1784-1798, doi:10.1175/JHM-D-12-017.1.

  32. Kumar, S. V., C. D. Peters-Lidard, D. Mocko, and Y. Tian, 2012: Multiscale evaluation of the improvements in surface snow simulation through terrain adjustments to radiation using MODIS snow cover data. J. Hydrometeor., 14, 220-232, doi:10.1175/JHM-D-12-046.1.

  33. Wu, H., R. F. Adler, Y. Hong, Y. Tian, and F. Policelli, 2012: Evaluation of global flood detection using satellite-based rainfall and a hydrologic model. J. Hydrometeor., 13, 1268-1284, doi: 10.1175/JHM-D-11-087.1.


Recent Presentations

  1. Tian, Y., 2014: Precipitation error structure and representation, Nov. 16-21, 2014. Seventh International Precipitation Working Group Workshop, Tsukuba, Japan.

  2. Tian, Y., 2014: Global precipitation: Measurements, uncertainties and science, Sept. 8, 2014, Dept. Build. Environ. Tech., Lund University, Lund, Sweden (invited).

  3. Tian, Y., 2014: Uncertainties in NASA’s precipitation data products, Sept. 4, 2014, Norwegian Meteorological Institute, Oslo, Norway (invited).

  4. Tian, Y., 2014: Measuring global precipitation from space, Sept. 1, 2014, Dept. Earth Sciences, Univ. of Gothenburg, Gothenburg, Sweden (invited).

  5. Tian, Y., 2014: Global precipitation: Measurement, uncertainty and understanding, Mar. 11, 2014, International Meteorological Institute and Dept. Meteorology, Univ. Stockholm, Stockholm, Sweden (invited).

  6. Tian, Y., 2014: The scaling of uncertainty in precipitation measurements. Geophysical Research Abstracts, 16, EGU2014-4426, EGU General Assembly 2014, Vienna, Austria, Apr. 27-May 2, 2014. (PDF)

  7. Tian, Y., 2014: Uncertainty quantification for GPM-era precipitation measurements. Geophysical Research Abstracts, 16, EGU2014-4405, EGU General Assembly 2014, Vienna, Austria, Apr. 27-May 2, 2014. (PDF)

  8. Esmaili, R., Y. Tian, and D. Vila, 2014: Satellite-based global storm tracking, climatology, and non-linear life cyle evolution. Geophysical Research Abstracts, 16, EGU2014-4199, EGU General Assembly 2014, Vienna, Austria, Apr. 27-May 2, 2014.

  9. Tang, L., Y. Tian, and X. Lin, 2014: How accurate are precipitation retrievals from space-borne passive microwave radiometers? – Evaluation of satellite retrieval errors in rain estimates from TMI, AMSR-E, SSM/I, SSMIS, AMSU-B, and MHS over continental United States. European Geosciences Union (EGU) General Assembly 2014, Vienna, Austria, Apr. 27-May 2, 2014.

  10. Tian, Y., C. Peters-Lidard, et al., 2014: Land surface microwave emissivity dynamics: Observations, analysis and modeling. 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad), Pasadena, CA, Mar. 24-27. (Download)

  11. Tang, L., Y. Tian, and X. Lin, 2014: Evaluation of Level-2 Precipitation Estimates from Satellite-based Passive Microwave Radiometers. 94th American Meteorological Society Annual Meeting (28th Conference on Hydrology), Atlanta, GA, Feb. 2-6, 2014.

  12. Esmaili, R., Y. Tian, D. Vila, 2014: Global Tracking and Life Cycle Analysis of Distinct Storm Species using a Decade of Satellite Observations. American Meteorological Society, Atlanta, GA, Feb. 2-6, 2014.

  13. Tang, L., Y. Tian, and X. Lin, 2013: Validation of Level-2 Precipitation Retrievals from Satellite-based Microwave Sensors. American Geophysical Union (AGU) Fall Meeting, San Francisco, CA, Dec. 9-13, 2013.

  14. Esmaili, R., Y. Tian, D. Vila, 2013: Storm Chasing Goes Global: Precipitation Systems’ Trajectories and Life Cycle Evolution as Seen from Space. American Geophysical Union, San Francisco, CA, Dec. 15-19, 2013.

  15. Esmaili, R. Y. Tian, D. Vila, 2013: Global Tracking and Life Cycle Analysis of Storm using a Decade of Satellite Observations. GPM Applications Workshop, NOAA Center for Weather and Climate Prediction, College Park, MD, Nov. 12-13, 2013.

  16. Tang, L., Y. Tian, and X. Lin, 2013: Measurement Uncertainty of Satellite-based Precipitation Sensors. 2013 NASA Precipitation Measurement Missions (PMM) Science Team Meeting, Annapolis, Maryland, Mar. 18-21, 2013.

  17. Tang, L., Y. Tian, and X. Lin, 2012: Measurement Uncertainty of Satellite Rainfall Sensors. American Geophysical Union (AGU) Fall Meeting, San Francisco, CA, Dec. 3-7, 2012.

  18. Esmaili, R., Y. Tian, D. Vila, 2013: Global Storm Tracking with GEO Environmental Satellites Data American Meteorological Society, Austin, TX, Jan 2-6, 2013

  19. Tian, Y., L. Tang, R. Adler, and X. Lin, 2012: Empirical analysis and statistical modeling of errors in satellite precipitation sensors. Sixth International Precipitation Working Group Workshop, São José dos Campos, Oct. 15-19, 2012. (Download).

  20. Tian, Y., 2012: Modeling errors in satellite data. Sixth International Precipitation Working Group Workshop, São José dos Campos, Oct. 15-19, 2012. (Download).

  21. Esmaili, R., D. Vila, Y. Tian, 2012: Global Storm Tracking, Classification, Characterization, and Analysis with Satellite-based Observations. Sixth International Precipitation Working Group Workshop, São José do Campos, Oct. 15-19, 2012. (Download).

  22. Tian, Y., L. Tang, R. Adler, G. Huffman, X. Lin, F. Yan, V. Maggioni and M. Sapiano, 2012: Uncertainty representation and quantification in precipitation data records. AGU Fall Meeting, San Francisco, CA, Dec. 3-7, 2012. (Download).

  23. Esmaili, R., D. Vila, Y. Tian, 2013: Global Storm Tracking, Characterization, and Analysis with Satellite-based Observations. AMS Annual Meeting, Austin, TX. Jan 9-10, 2013. (Download).




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