Abstract Global reanalysis products are important tools across disciplines to study past meteorological changes and especially useful for wind energy resource evaluations. Studies of observed speed show that land surface declined globally since the 1960s (known as global terrestrial stilling) but reversed with a turning point around 2010. Whether declining trend have been captured by remains un...

Abstract. While El Niño–Southern Oscillation (ENSO) teleconnection has long been used in statistical precipitation forecasting, global climate models (GCMs) provide increasingly available dynamical forecasts for hydrological modeling and water resources management. It is not yet known to what extent GCM new information compared teleconnection. This paper develops a novel set operations of coeff...

Abstract. Climate teleconnections are essential for the verification of valuable precipitation forecasts generated by global climate models (GCMs). This paper develops a novel approach to attributing correlation skill dynamical GCM statistical El Niño–Southern Oscillation (ENSO) teleconnection using coefficient determination (R2). Specifically, observed is respectively regressed against forecas...

We have equipped the unstructured-mesh global sea-ice and ocean model FESOM2 with a set of physical parameterizations derived from single-column Icepack. The update has substantially broadened range processes that can be represented by model. new features are directly implemented on unstructured mesh, thereby benefit flexibility comes it in terms spatial resolution. A subset parameter space thr...

Predictive performance is one of the most important issues for practical applications ensemble hydroclimatic forecasts. While different forecasting studies tend to use combinations verification metrics and diagnostic plots, this paper presents a literature survey popular metrics, plots their corresponding forecast attributes. Twenty quantify predictive ensemble, deterministic categorical foreca...

The impact of initial land-surface states on monthly to seasonal prediction skill of the Indian summer monsoon (June–September) is investigated using a suite of hindcasts made with the Climate Forecast System version 2 (CFSv2) operational forecast model. The modern paradigm of land-atmosphere coupling is applied to quantify biases in different components of the land-atmosphere coupled system an...

The efficacy of two latest versions regional climate models (RegCM and WRF) for simulating the Indian summer monsoon (JJAS) is tested in this study. CFSv2 hindcast outputs are downscaled over domain 11 contrasting seasons using models. April start ensembles averaged to generate initial lateral boundary conditions driving WRF RegCM. perform better features than parent model. rainfall pattern as ...

Abstract. Global reanalyses from data assimilation systems are among the most widely used datasets in weather and climate studies, potential vorticity (PV) is invaluable for many studies of dynamical transport processes. We assess how consistently modern represent each other, focusing not only on PV but also process-oriented diagnostics including equivalent latitude calculated PV-based tropopau...