Results 61 to 70 of about 576 (159)
We deployed passive acoustic monitoring across three forest types in Central Kalimantan, Indonesia, and applied a pretrained deep learning automated detector to identify 83,956 Bornean white‐bearded gibbon (Hylobates albibarbis) great call vocalisations over 18 months.
Alasdair F. Owens +9 more
wiley +1 more source
Trends of precipitation extreme indices over a subtropical semi-arid area using PERSIANN-CDR [PDF]
In this study, satellite-based daily precipitation estimation data from precipitation estimation from remotely sensed information using artificial neural networks (PERSIANN)-climate data record (CDR) are being evaluated in Iran. This dataset (0.25°, daily), which covers over three decades of continuous observation beginning in 1983, is evaluated using ...
Katiraie-Boroujerdy, Pari-Sima +3 more
openaire +3 more sources
The study evaluated the suitability of ERA5 Land for drought monitoring in the Upper Vistula Basin (Poland). In particular, meteorological drought expressed as Standardised Precipitation Index (SPI) has been analysed. As a result, the ERA5‐Land provided high accuracy for detecting short‐term droughts but underperformed in representing prolonged ...
Andrzej Wałęga +6 more
wiley +1 more source
Extreme precipitation has received much attention because of its implications for hazard assessment and risk management. However, accurate precipitation information for extreme precipitation research from dense rain gauges is still difficult to obtain in
Jie Liu +5 more
doaj +1 more source
Decoupling Between Heavy Precipitation Expansion and Population Exposure in a Warming World
Abstract Climate change is intensifying the global water cycle, amplifying heavy precipitation and associated flood risks. However, the spatial extent of heavy precipitation—a critical factor for assessing total societal impact—has been largely overlooked. Here, we develop a method to identify the spatial extent of heavy precipitation that incorporates
Han Zhou +6 more
wiley +1 more source
Soil moisture modelling of a SMOS pixel: interest of using the PERSIANN database over the Valencia Anchor Station [PDF]
Abstract. In the framework of Soil Moisture and Ocean Salinity (SMOS) Calibration/Validation (Cal/Val) activities, this study addresses the use of the PERSIANN-CCS1database in hydrological applications to accurately simulate a whole SMOS pixel by representing the spatial and temporal heterogeneity of the soil moisture fields over a wide area (50×50 km2)
Juglea, Silvia Enache +5 more
openaire +7 more sources
Precipitation Biases Over the Southern Ocean in CMIP6, Reanalyses and Satellite‐Based Products
Abstract A set of gridded, satellite‐based, precipitation products has been used to assess the performance of 46 Coupled Model Intercomparison Project (CMIP6) atmospheric‐only simulations and 5 reanalyses over the Southern Ocean (SO) on daily timescales, in terms of total precipitation and variance, frequency and intensity of wet days, and seasonal ...
Joaquín E. Blanco +2 more
wiley +1 more source
Evaluating PERSIANN-CDR and ERA5 Precipitation Products: Insights from Bandung Raya
Accurate precipitation estimation is essential for hydrological studies, particularly in regions with complex climatic and topographical characteristics, such as Greater Bandung, Indonesia. This study evaluates the performance of two high-resolution global precipitation datasets (GPDs), ERA5 and PERSIANN-CDR, by comparing them against observations from
Danurendro Ramadhani Putro +1 more
openaire +1 more source
Utility of satellite-based precipitation products for drought monitoring over Morocco
Satellite precipitation products (SPPs) offer valuable data for large-scale drought analysis, although their accuracy varies with climate characteristics and data processing algorithms.
Abdessamad Hadri +5 more
doaj +1 more source
Satellite-based precipitation products, (SbPPs) have piqued the interest of a number of researchers as a reliable replacement for observed rainfall data which often have limited time spans and missing days.
Helani Perera +4 more
doaj +1 more source

