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First 1342 results for ” J Moncrieff”

1. Calibration of ECMWF Seasonal Ensemble Precipitation Reforecasts in Java (Indonesia) Using Bias-Corrected Precipitation and Climate Indices

   The seasonal precipitation forecast is one of the essential inputs for economic and agricultural ...

   Ratri, D. N., Whan, K., and Schmeits, M. | Journal: Weather and Forecasting | Volume: 36 | Year: 2021 | First page: 1375 | Last page: 1386 | doi: 10.1175/WAF-D-20-0124.1

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2. Salmon's Hamiltonian approach to balanced flow applied to a one-layer isentropic model of the atmosphere

   Salmon's Hamiltonian approach is applied to formulate a balanced approximation to a hydrostatic o...

   WTM Verkley | Status: published | Journal: Quart. J. Royal Meteorol. Soc. | Volume: 127 | Year: 2000 | First page: 579 | Last page: 600

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3. Seasonal Streamflow Forecasting for Fresh Water Reservoir Management in the Netherlands: An Assessment of Multiple Prediction Systems

   For efficient management of the Dutch surface water reservoir Lake IJssel, (sub)seasonal forecast...

   Hurkmans, R. T. W. L., B. van den Hurk, M. Schmeits, F. Wetterhall, and I. G. Pechlivanidis | Journal: J. Hydrometeor. | Volume: 24 | Year: 2023 | First page: 1275 | Last page: 1290 | doi: https://doi.org/10.1175/JHM-D-22-0107.1

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4. Interpreting extreme climate impacts from large ensemble simulations—are they unseen or unrealistic?

   Large-ensemble climate model simulations can provide deeper understanding of the characteristics ...

   T Kelder, N Wanders, K van der Wiel, TI Marjoribanks, LJ Slater, RI Wilby, C Prudhomme | Journal: Environmental Research Letters | Volume: 17 | Year: 2022 | First page: 044052 | doi: 10.1088/1748-9326/ac5cf4

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5. The MSG-SEVIRI-based cloud property data record CLAAS-2

   Clouds play a central role in the Earth's atmosphere, and satellite observations are crucial for ...

   Benas, N., Finkensieper, S., Stengel, M., van Zadelhoff, G.-J., Hanschmann, T., Hollmann, R., and Meirink, J. F | Journal: Earth System Science Data | Year: 2017 | doi: https://doi.org/10.5194/essd-9-415-2017

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