Results 161 to 170 of about 1,943,084 (299)

Satellite and Reanalysis Dataset Dependence of ETCCDI Extreme Precipitation Trends in Paraná, Southern Brazil

International Journal of Climatology, EarlyView.
Extreme precipitation trends detected in Paraná, Southern Brazil (1983–2024), are strongly conditioned by the dataset used, with reanalyses indicating coherent inland drying and longer dry spells, observations retaining stronger mesoscale heterogeneity, and satellite products often showing declines in short‐duration extremes. Monthly diagnostics reveal
Paulo Miguel de Bodas Terassi, Jakeline Baratto, Vitor Hugo Rosa Biffi   +2 more
wiley   +1 more source

Hydrologic engineering methods for water resources development: Volume 3, hydrologic frequency analysis

HYDROLOGIC ENGINEERING METHODS FOR WATER RESOURCES DEVELOPMENT .•sài ä$OTg-3zr &a» 32S?ig5M rÄ 8 9 Ä 1^5** 1i;t1ì! 1e^:::; i«a «4* 1 » re; !££ r;;it --Aif]r r—. I VOLUME 3 HYDROLOGIC FREQUENCY ANALYSIS :':oÌ|^*5\«5rrr^rMf**#H*rrM»» --*•- m m m i > V *» *»
Hydrologic Engineering Center (U.S.);
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Diagram, The Hydrologic Cycle

, 1970
A diagram explaining the hydrologic cycle.https://digitalcommons.usf.edu/parker_photographs/1040/thumbnail ...
Parker, Garald Gordon
core  

Station‐Based Assessment of Sub‐Seasonal Climate Trends in the Tyrolean Alps (Austria)

International Journal of Climatology, EarlyView.
In this study, we quantify the magnitude and significance of sub‐seasonal trends in the Tyrolean Alps (Austria) by collecting, processing and analysing meteorological observations from a dense network of climate stations. Our analysis indicates a warming rate of 0.43°C/dec over 1964–2023, greater sub‐seasonal trend variability when the analysis window ...
Erwin Rottler, Elena Bertazza, Franz Wagner, Gertraud Meißl, Theresa Schellander‐Gorgas, Johannes Schöber, Ulrich Strasser   +6 more
wiley   +1 more source

Machine Learning‐Based Correction of Reanalysis Surface Radiation Fluxes Using Ground‐Measured Data in the Southern Brazilian Pampa Biome

International Journal of Climatology, EarlyView.
This study demonstrates that ERA5 provides more accurate surface radiation flux estimates than MERRA2 across the Southern Brazilian Pampa. Machine learning models, particularly Random Forest, further improved the precision of reanalysis data for climate applications.
Olusola Samuel Ojo, Michel Baptistella Stefanello, Alecsander Mergen, Maria Eduarda Oliveira Pinheiro, Vanessa de Arruda Souza, Débora Regina Roberti   +5 more
wiley   +1 more source

Intercomparison of a Regional Climate Model Ensemble for Selected European Catchments

International Journal of Climatology, EarlyView.
This study analyzes a regional climate model ensemble for water cycle and water resource research with two models. Results show that ICON generally outperforms TSMP1 simulations, mainly with 2‐m temperature and precipitation. These findings serve as a baseline evaluation that shows how key structural differences influence the model skill.
Jane Leonor Roque, Francis Da Silva Lopes, Julian Alberto Giles, Benjamin D. Gutknecht, Bernd Schalge, Yikui Zhang, Marco Ferro, Petra Friederichs, Klaus Goergen, Stefan Poll, Arianna Valmassoi   +10 more
wiley   +1 more source

Climate change effects on hydrologic processes and water quality in the Connecticut River watershed. [PDF]

PeerJ
Parry H, Randhir TO.
europepmc   +1 more source

A New Hydroclimatic Signature: Negative NAO Dominance Under Weak La Niña Conditions During the 2025–2026 Northwest Africa Floods

International Journal of Climatology, EarlyView.
Conceptual hydroclimatic pathway linking the concurrent negative North Atlantic Oscillation (NAO) phase and weak La Niña conditions to extreme February rainfall and flash flooding in Northwest Africa. ABSTRACT The winter of 2025–2026 in Morocco exhibited a rapid hydroclimatic transition from prolonged drought to widespread flooding, representing an ...
Afshin Amiri, Silvio Jose Gumiere, Hossein Bonakdari   +2 more
wiley   +1 more source

Simulating the Impacts of Deep Geothermal Development on Shallow Hydrothermal Resources in a Rocky Mountain Rift Valley. [PDF]

Ground Water
Rush MJ, Birdsell D, Foster L, Reichenbacher R, Rehmus P, Armstrong T.   +5 more
europepmc   +1 more source

Evolution in computer programs causes evolution in training needs: The Hydrologic Engineering Center experience

m US '.Army Corps of Engineers The Hydrologic Engineering Center Evolution] ill] ~om~qter ·p,~grams ~ Causes Ev.oll.l_t-lQn In l-liralnlngiINeecte:­T-hel H.y~di'.Q ...
Hydrologic Engineering Center (U.S.); United States. Army. Corps of Engineers;
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