Results 131 to 140 of about 1,295,590 (232)

Environmental influences on the maximum quantum yield of terrestrial primary production

open access: yesNew Phytologist, EarlyView.
Temperature and aridity effects on terrestrial ecosystems' intrinsic quantum yield. Summary Historically, terrestrial biosphere models (TBMs) have assigned the intrinsic (maximum) quantum yield of photosynthesis (ϕ0)$$ {\phi}_0\Big) $$ a constant value for each plant functional type. However, experimental studies have shown that ϕ0$$ {\phi}_0 $$ – when
David Sandoval   +3 more
wiley   +1 more source

Land Development Digest [PDF]

open access: yes, 1979
iii.91 hal.;ill.;21 ...
Felda Institue of Land Development
core   +2 more sources

Intercomparison of reanalysis and satellite precipitation products in endorheic and exorheic basins on the Tibetan Plateau

open access: yesJournal of Hydrology: Regional Studies
Study Region: Endorheic and exorheic basins of the Tibetan Plateau (TP). Study Focus: Reanalysis and satellite precipitation products provide alternatives for regions of sparse ground precipitation observation, but pose a tough task to select a suitable ...
Rong Wang   +4 more
doaj   +1 more source

Validação da radiação solar global do era5-Land para o município de Humaitá-Amazonas. [PDF]

open access: yes
Global Solar Radiation plays a crucial role in meteorological studies. Reliable data is essential for supporting climate analyses and decision-making in this field.
Félix Galvao, Willian   +6 more
core   +2 more sources

Estimating Wind‐Power Capacity Time Series From Production Data Using a Power Curve Model and Quadratic Optimization

open access: yesWind Energy, Volume 29, Issue 8, August 2026.
ABSTRACT Accurate, time‐resolved installed capacity data are crucial for forecasting and analysing wind‐power production. The time series of installed capacity is often only approximately known in regions with rapid wind power development. Public wind power databases may only be updated yearly and installation dates may not be differentiated within ...
Olle Viotti, Johan Arnqvist, Jon Olauson
wiley   +1 more source

Observation‐Driven Correction of Numerical Weather Prediction for Marine Winds

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Accurate marine wind forecasts are essential for safe navigation, ship routing, and energy operations, yet they remain challenging because observations over the ocean are sparse, heterogeneous, and temporally variable. We present an observation‐informed correction approach for global numerical weather prediction (NWP) of marine winds.
Matteo Peduto   +4 more
wiley   +1 more source

Land rights news : Central Australia [PDF]

open access: yes, 2011
This publication contains may contain links to external sites. These external sites may no longer be active.Published three times a yearMade available by the Northern Territory Library via the Publications (Legal Deposit) Act 2004 (NT).The Northern and ...
Central Land Council
core  

Data‐Driven Emulation of Numerically Simulated Baltic Sea Surface Currents With a Deep Convolutional U‐Net: Explainability and Potential Forecast Skill

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Ocean models can represent surface circulation at kilometer scales, but their computational cost limits broad experimentation. We present DeepCUN, a deep convolutional encoder–decoder (U‐Net) that emulates daily mean Baltic Sea surface current components on a 1‐nautical‐mile grid.
Amirhossein Barzandeh   +5 more
wiley   +1 more source

Land scrip, state of Texas, General Land Office [PDF]

open access: yes, 1882
Script for the Gulf, Colorado and Santa Fe Railroad Company to claim 640 acres of public land in Texas.Full catalog title: Land scrip, state of Texas, General Land Office : this certificate entitles the Gulf, Colorado and Santa Fe Railway Company to six ...
Texas. General Land Office; Gulf, Colorado, and Santa Fe Railroad
core  

Integrating remote‐sensing and meteorological data to identify key drivers of the potential distribution of a grassland grasshopper

open access: yesEcological Entomology, Volume 51, Issue 4, Page 639-653, August 2026.
An ensemble model achieved excellent accuracy (AUC = 0.973) in predicting the potential distribution of O. decorus asiaticus. Climate (temperature & August precipitation) and vegetation type are the primary drivers defining the species' suitable habitats.
Du Bobo   +5 more
wiley   +1 more source

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