Bellow, J., A. Mokssit, J. O'Brien, and R. Sebbari. (2008). Building national and specialised climate services. In A. Troccoli, M. Harrison, D. L. T. Anderson, & S. Mason (Eds.), Seasonal Climate: Forecasting and Managing Risk (pp. 315–349). Springer.
Bellow, J. G. (2005). Climate Forecasts for Thermal Units Prediction: Chilling Accumulation and Winter Crop Development in Alabama, Florida and Georgia. In American Society of Agronomy meeting, Nov. 6-10, Salt Lake City, Utah, USA .
Bellow, J. G. (2006). El Niño-Southern Oscillation Effects and Forecasting Chill Unit Accumulation for Deciduous Fruit Crops in the Southeastern USA. In Southern Region American Society for Horticultural Science 66th Annual Meeting. Feb. 4-6, Orlando, Florida, United States .
Bellow, J. G., Nair, P. K. R., & Martin, T. A. (2008). Tree-Crop Interactions in Fruit Tree-based Agroforestry Systems in the Western Highlands of Guatemala: Component Yields and System Performance. In S. Jose, & A. M. Gordon (Eds.), Toward Agroforestry Design. Advances in Agroforestry (Vol. 4). Dordrecht: Springer.
Bellow, J. G., Shin, D. W., Schoof, J., Jones, J. W., & O'Brien, J. J. (2006). Contribution of temperature, precipitation, and solar radiation from dynamically downscaled global climate model to predicting peanut yields in the SE USA . Research Activities in Atmospheric and Ocean Modeling, CAS/JSC Working Group on Numerical Experimentation.
Bellow, J. G., Shin, D. W., Schoof, J., Jones, J., & O'Brien, J. J. (2006). Contribution of Temperature, Precipitation, and Solar Radiation from Dynamically Downscaled Global Climate Model Output to Predicting Peanut Yields and Phenology in the SE USA. In 2006 Annual Meeting of Southern Branch ASA Feb. 4-8, Orlando, Florida, United States .
Bellow, J. G., Hudson, R. F., & Nair, P. K. R. (2008). Adoption potential of fruit-tree-based agroforestry on small farms in the subtropical highlands. Agroforest Syst , 73 (1), 23–36.
Belyaev, K. P., Tanajura, C. A. S., & O'Brien, J. J. (2001). A data assimilation method used with an ocean circulation model and its application to the tropical Atlantic. Applied Mathematical Modelling , 25 (8), 655–670.
Bentamy, A., Piollé, J. F., Grouazel, A., Danielson, R., Gulev, S., Paul, F., et al. (2017). Review and assessment of latent and sensible heat flux accuracy over the global oceans. Remote Sensing of Environment , 201 , 196–218.
Bhardwaj, A., & Misra, V. (2019). Monitoring the Indian Summer Monsoon Evolution at the Granularity of the Indian Meteorological Sub-divisions using Remotely Sensed Rainfall Products. Remote Sensing , 11 (9), 1080.
Abstract: We make use of satellite-based rainfall products from the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) to objectively define local onset and demise of the Indian Summer Monsoon (ISM) at the spatial resolution of the meteorological subdivisions defined by the Indian Meteorological Department (IMD). These meteorological sub-divisions are the operational spatial scales for official forecasts issued by the IMD. Therefore, there is a direct practical utility to target these spatial scales for monitoring the evolution of the ISM. We find that the diagnosis of the climatological onset and demise dates and its variations from the TMPA product is quite similar to the rain gauge based analysis of the IMD, despite the differences in the duration of the two datasets. This study shows that the onset date variations of the ISM have a significant impact on the variations of the seasonal length and seasonal rainfall anomalies in many of the meteorological sub-divisions: for example, the early or later onset of the ISM is associated with longer and wetter or shorter and drier ISM seasons, respectively. It is shown that TMPA dataset (and therefore its follow up Global Precipitation Measurement (GPM) Integrated Multi-satellite Retrievals for GPM (IMERG)) could be usefully adopted for monitoring the onset of the ISM and therefore extend its use to anticipate the potential anomalies of the seasonal length and seasonal rainfall anomalies of the ISM in many of the Indian meteorological sub-divisions. View Full-Text