This study aims to explore the contrasting characteristics of large-scale circulation that led precipitation anomalies over northern parts Sumatra Island. Further, impact varying Asian–Australian Monsoon (AAM) was investigated for triggering variability area. The moisture budget analysis applied quantify most dominant component induces during JJA (June, July, and August) period. Then, composite...

In this paper, we provide a Lagrangian analysis of the anomalies in the moisture transport during two important drought events (1989/1990 and 2003) configured over the Danube River Basin (DRB) region. Firstly, we identified the drought episodes that occurred over the DRB in the period of 1980–2014 through the Standardized Precipitation Evapotranspiration Index (SPEI). SPEI was calculated using ...

High resolution information of climatic conditions is essential to many application in environmental sciences. Here we present the CHELSA algorithm to downscale temperature and precipitation estimates from the European Centre for Medium-Range Weather Forecast (ECMWF) climatic reanalysis interim (ERA-Interim) to a high resolution of 30 arc sec. The algorithm for temperature is based on a statist...

SouthernWest Africa (SWA) has a large population that relies on highly variablemonsoon rainfall, yet climate models show little consensus over projected precipitation in this region. Understanding of the current and future climate of SWA is further complicated by rapidly increasing anthropogenic emissions and a lack of surface observations. Using multiple satellite observations, the ERA-Interim...

The wind and wave products from the ERS mission provide an invaluable data set. This paper provides an overview of the performance of both ERS-1 and ERS-2 products on the basis of surface winds from the consistent ECMWF 40-Year Reanalysis (ERA-40), and wave fields from a long term stand-alone wave model hindcast run forced by ERA-40 winds. Furthermore, buoy and other in-situ measurements are us...

Continuous satellite-derived cloud records now extend over three decades, and are increasingly used for climate applications. Certain applications, such as trend detection, require a clear understanding of uncertainty as it relates to establishing statistical significance. The use of reanalysis products as sources of ancillary data could be construed as one such source of uncertainty, as there ...