A. Singleton

ORCID: 0000-0001-5821-144X
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About
Contact & Profiles
Research Areas
  • Climate variability and models
  • Hydrology and Drought Analysis
  • Plant Water Relations and Carbon Dynamics
  • Precipitation Measurement and Analysis
  • Climate change impacts on agriculture
  • Arctic and Antarctic ice dynamics
  • Meteorological Phenomena and Simulations

Norwegian Meteorological Institute
2023

Joint Research Centre
2012-2014

Abstract. This study proposes a drought indicator that combines the Standardized Precipitation Index (SPI), anomalies of soil moisture and fraction Absorbed Photosynthetically Active Radiation (fAPAR). Computed at European level, Combined Drought Indicator (CDI) gives synthetic synoptic overview situation using classification scheme. Derived from integration three individual indices, this scheme is composed warning levels: "watch" when relevant precipitation shortage observed, "warning"...

10.5194/nhess-12-3519-2012 article EN cc-by Natural hazards and earth system sciences 2012-11-29

Abstract The main objective of this study is to evaluate the uncertainties due sample size associated with estimation standardized precipitation index (SPI) and their impact on level confidence in drought monitoring Africa using high-spatial-resolution data from short time series. To do this, two different rainfall datasets, each available a monthly basis, were analyzed over four river basins Africa—Oum er-Rbia, Limpopo, Niger, eastern Nile—as well as at continental level. datasets used...

10.1175/jamc-d-12-0113.1 article EN Journal of Applied Meteorology and Climatology 2012-08-02

Abstract The adequacy of meteorological drought intensity threshold levels based on deviations monthly precipitation totals from normal climatological conditions is reconsidered. motivation for this study the observation that reference classification systems are fixed all regions, and have been proposed without regard statistical distribution accumulated in space time. This misrepresentation variability may lead to erroneous estimates onset specific areas where natural breaks cumulative do...

10.1175/jamc-d-13-0167.1 article EN Journal of Applied Meteorology and Climatology 2014-05-09

This article investigates two different methods for perturbing sea surface temperature (SST) in a convection permitting ensemble prediction system based on the AROME-Arctic NWP model. The are one that results perturbations purely randomly located and which targeted towards locations where SST errors thought to be largest. impact of magnitude is also tested by scaling have similar L1 norm perturbations. error estimate comparing method targeting uncertainty estimates. four high weather events...

10.16993/tellusa.27 article EN cc-by Tellus A Dynamic Meteorology and Oceanography 2023-01-01
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