Results 61 to 70 of about 37,687 (235)
Long‐Term Variability and Spatial Differentiation of the Frost‐Free Period in Iceland
International Journal of Climatology, EarlyView.Warming in Iceland (May–September) is expressed as fewer Tmin < 0°C days in the interior and more Tmin > 0°C days along the coasts. ABSTRACT Climate change in subarctic regions leads to significant transformations in thermal conditions; however, the long‐term variability of the frost‐free season (FFS)—and consequently, the growing period—remains poorly
Katarzyna Piotrowicz +3 more
wiley +1 more source
E-Jurnal Matematika, 2015 Spatial data is data that is presented in the geographic of an object, related to the location, shape and relationship of the earth in space. One of example of spatial data is rainfall. To determine the value of rainfall in an area, built to predict rain
PUTU MIRAH PURNAMA D. +2 more
doaj +1 more source
Land Degradation &Development, EarlyView.ABSTRACT Ensuring the long‐term erosional stability of post‐mining landforms remains a major challenge in open‐pit mining. Reconstructed landscapes must support the agreed post‐mining land use, such as cattle grazing in the Hunter region of southeastern Australia, requiring stable pasture and minimal soil loss.
I. P. Senanayake, G. R. Hancock
wiley +1 more source
Spatio-Temporal Analysis of Drought Severity Using Drought Indices and Deterministic and Geostatistical Methods (Case Study: Zayandehroud River Basin) [PDF]
Desert, 2016 Drought monitoring is a fundamental component of drought risk management. It is normally performed using various drought indices that are effectively continuous functions of rainfall and other hydrometeorological variables.
A. Afzali +8 more
doaj +1 more source
Discrete Surface Modeling Based on Google Earth: A Case Study [PDF]
, 2012 Google Earth (GE) has become a powerful tool for geological, geophysical and geographical modeling; yet GE can be accepted to acquire elevation data of terrain.
Mei, Gang +2 more
core +1 more source
Materials Genome Engineering Advances, EarlyView.An uncertainty‐aware FEM–GPR active learning framework efficiently explores the design space of 3D braided W–Cu composites, identifying architectures with higher yield strength and preserved electrical conductivity, whereas SHAP interpretation highlights yarn spacing in the braid plane as the key structural factor controlling composite performance ...
Lai Zhang +6 more
wiley +1 more source
Geostatistical mapping and spatial variability of surficial sediment types on the Beaufort Sea shelf based on grain size data [PDF]
, 2012 The nearshore Beaufort Sea is a sensitive marine environment that is also the focus of oil and gas exploration. Offshore, the Beaufort Sea contains large potential reserves of hydrocarbons.
Blasco, S. M. +2 more
core
Cost-efficient modeling of antenna structures using Gradient Enhanced Kriging [PDF]
, 2015 Reliable yet fast surrogate models are indispensable in the design of contemporary antenna structures. Data-driven models, e.g., based on Gaussian Processes or support-vector regression, offer sufficient flexibility and speed, however, their setup cost ...
Bekasiewicz, A +5 more
core +2 more sources
Quarterly Journal of the Royal Meteorological Society, EarlyView.State‐of‐the‐art, convection‐permitting NWP models reproduced the main features of the October 22–23, 2019 heavy precipitation event in Catalonia. However, slight configuration changes yielded varying streamflow responses and statistical performance, highlighting the challenge of simulating these events in Mediterranean medium‐sized basins ...
D. Ramonell +3 more
wiley +1 more source
Sensors, 2017 In the practice of interpolating near-surface soil moisture measured by a wireless sensor network (WSN) grid, traditional Kriging methods with auxiliary variables, such as Co-kriging and Kriging with external drift (KED), cannot achieve satisfactory ...
Jialin Zhang +5 more
doaj +1 more source