1. Boukabara, A., Garrett, K., Chen, W., Iturbide-Sanchez, F., Grassotti, C., Kongoli, C., Chen, R., Liu, Q., Yan, B., Weng, F., Ferraro, R. R., Kleespies, T., & Meng, H. (2011). MiRS: An all-weather 1DVAR satellite data assimilation and retrieval system. IEEE Transactions on Geoscience and Remote Sensing, 49, 3249–3272.
https://doi.org/10.1109/TGRS.2011.2158438
.
2. Christy, J. R., Spencer, R. W., & Lobl, E. S. (1998). Analysis of the merging procedure for the MSU daily temperature time series. Journal of Climate, 11, 2016–2041.
https://doi.org/10.1175/1520-0442-11.8.2016
.
3. Falcone, V. J., Griffin, M. K., Isaacs, R. G., Pickle, J. D., Morrissey, J. F., Jackson, A. J., Bussey, A., Kakar, R., Wang, J., Racette, P., Boucher, D. J., Thomas, B. H., & Kishi, A. M. (1992). DMSP F11 SSM/T-2 calibration and validation. Environmental Research Papers 1111, PL-TR-92-2293. [Available from Philips Laboratory, Hanscom Air Force Base, MA 01731-5000]
4. Ferraro, R. R., Weng, F., Grody, N., Zhao, L., Meng, H., Kongoli, C., Pellegrino, P., Qiu, S., & Dean, C. (2005). NOAA operational hydrological products derived from the AMSU. IEEE Transactions on Geoscience and Remote Sensing, 43, 1036–1049.
https://doi.org/10.1109/TGRS.2004.843249.
5. Ferraro, R. R., Meng, H., Zavodsky, B., Kusselson, S., Kann, D., Guyer, B., Jacobs, A., Perfater, S., Folmer, M., Dong, J., Kongoli, C., Yan, B., Wang, N.-Y., & Zhao, L. (2018). Snowfall rates from satellite data help weather forecasters. Eos, 99.
https://doi.org/10.1029/2018EO096715
.