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Estimating one-minute rain rate distributions in the Tropics from TRMM satellite data (October 2017) (2018)
Journal Article
Rimvin, G. R., Paulson, K. S., & Bellerby, T. (2018). Estimating one-minute rain rate distributions in the Tropics from TRMM satellite data (October 2017). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(10), 3660-3667. doi:10.1109/JSTARS.2018.2869322

© 2008-2012 IEEE. Internationally recognized prognostic models of rain fade on terrestrial and Earth-space extremely high frequency (EHF) links rely fundamentally on distributions of 1-min rain rates. In Rec. ITU-R P.837-6, these distributions are es... Read More

A method to estimate trends in distributions of 1 min rain rates from numerical weather prediction data (2015)
Journal Article
Paulson, K., Ranatunga, C., & Bellerby, T. (2015). A method to estimate trends in distributions of 1 min rain rates from numerical weather prediction data. Radio science, 50(9), (931-940). doi:10.1002/2015RS005651. ISSN 0048-6604

It is known that the rain rate exceeded 0.01% of the time in the UK has experienced an increasing trend over the last 20 years. It is very likely that rain fade and outage experience a similar trend. This paper presents a globally applicable method t... Read More

WRF model sensitivity to choice of parameterization: a study of the 'York Flood 1999' (2014)
Journal Article
Remesan, R., Bellerby, T., Holman, I., & Frostick, L. (2015). WRF model sensitivity to choice of parameterization: a study of the 'York Flood 1999'. Theoretical and applied climatology, 122(1-2), (229-247). doi:10.1007/s00704-014-1282-0. ISSN 0177-798X

© 2014, Springer-Verlag Wien. Numerical weather modelling has gained considerable attention in the field of hydrology especially in un-gauged catchments and in conjunction with distributed models. As a consequence, the accuracy with which these model... Read More

Ensemble representation of uncertainty in Lagrangian satellite rainfall estimates (2013)
Journal Article
Bellerby, T. J. (2013). Ensemble representation of uncertainty in Lagrangian satellite rainfall estimates. Journal of hydrometeorology, 14(5), (1483-1499). doi:10.1175/JHM-D-12-0121.1. ISSN 1525-755X

A new algorithm called Lagrangian Simulation (LSIM) has been developed that enables the interpolation uncertainty present in Lagrangian satellite rainfall algorithms such as the Climate Prediction Center (CPC) morphing technique (CMORPH) to be charac... Read More

Hydrological modelling using data from monthly GCMs in a regional catchment (2013)
Journal Article
Remesan, R., Bellerby, T., & Frostick, L. (2014). Hydrological modelling using data from monthly GCMs in a regional catchment. Hydrological Processes, 28(8), (3241-3263). doi:10.1002/hyp.9872. ISSN 0885-6087

This study demonstrates the use of spatially downscaled, monthly general circulation model (GCM) rainfall and temperature data to drive the established HyMOD hydrological model to evaluate the prospective effects of climate change on the fluvial run-... Read More

Searchlight: Precipitation advection tracking using multiplatform low-earth-orbiting satellite data (2012)
Journal Article
Bellerby, T. (2013). Searchlight: Precipitation advection tracking using multiplatform low-earth-orbiting satellite data. IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society, 51(4), (2177-2187). doi:10.1109/TGRS.2012.2211604. ISSN 0196-2892

This paper presents a new algorithm, Searchlight, capable of tracking precipitation advection through the complex spatiotemporal sampling pattern of multiplatform low-Earth-orbiting (LEO) passive and active microwave satellite data sets. The algorith... Read More

Blue Nile runoff sensitivity to climate change (2010)
Journal Article
Nawaz, R., Bellerby, T., Sayed, M., & Elshamy, M. (2010). Blue Nile runoff sensitivity to climate change. The open hydrology journal, 4(Special issue), 137 - 151. doi:10.2174/1874378101004010137

This study describes implementation of hydrological climate change impact assessment tool utilising a combination of statistical spatiotemporal downscaling and an operational hydrological model known as the Nile Forecasting System. A spatial rainfall... Read More

REFAME: rain estimation using forward-adjusted advection of microwave estimates (2010)
Journal Article
Bellerby, T. J., Behrangi, A., Hsu, K., Huffman, G. J., Imam, B., & Sorooshian, S. (2010). REFAME: rain estimation using forward-adjusted advection of microwave estimates. Journal of hydrometeorology, 11(6), (1305-1321). doi:10.1175/2010JHM1248.1. ISSN 1525-755X

A new multiplatform multisensor satellite rainfall estimation technique is proposed in which sequences of Geostationary Earth Orbit infrared (GEO-IR) images are used to advect microwave (MW)-derived precipitation estimates along cloud motion streamli... Read More

LMODEL: A satellite precipitation methodology using cloud development modeling. Part I: Algorithm construction and calibration (2009)
Journal Article
Bellerby, T., Hsu, K. L., & Sorooshian, S. (2009). LMODEL: A satellite precipitation methodology using cloud development modeling. Part I: Algorithm construction and calibration. Journal of hydrometeorology, 10(5), (1081-1095). doi:10.1175/2009jhm1091.1. ISSN 1525-755X

The Lagrangian Model (LMODEL) is a new multisensor satellite rainfall monitoring methodology based on the use of a conceptual cloud-development model that is driven by geostationary satellite imagery and is locally updated using microwave-based rainf... Read More

LMODEL: A satellite precipitation methodology using cloud development modeling. Part II: Validation (2009)
Journal Article
Hsu, K., Sorooshian, S., & Bellerby, T. (2009). LMODEL: A satellite precipitation methodology using cloud development modeling. Part II: Validation. Journal of hydrometeorology, 10(5), (1096-1108). doi:10.1175/2009JHM1092.1. ISSN 1525-755X

Anew satellite-based rainfall monitoring algorithm that integrates the strengths of both low Earth-orbiting (LEO) and geostationary Earth-orbiting (GEO) satellite information has been developed. The Lagrangian Model (LMODEL) algorithm combines a 2D c... Read More