Results 101 to 110 of about 69,867 (301)
Potential distribution and susceptibility of Coffea arabica L. to climate change impacts
Ecological niche models (ENMs) are vital for understanding the impact of historical factors on ecosystems and predicting future climate change scenarios. These models help assess how environmental shifts affect agricultural species like coffee, which supports millions of people globally.
Yuliana Grisel García‐Martínez +1 more
wiley +1 more source
Spartan Daily, December 11, 1942 [PDF]
Volume 31, Issue 49https://scholarworks.sjsu.edu/spartandaily/3529/thumbnail ...
San Jose State University, School of Journalism and Mass Communications
core +1 more source
We present a compatible finite‐element discretisation of a general formulation of moist shallow‐water equations, with the aim of providing a simple model to advance understanding of physics–dynamics coupling. We detail set‐ups and show three moist shallow‐water test cases in four different model formulations. The results demonstrate differences between
Nell Hartney +2 more
wiley +1 more source
Exploration and Practice of Excellent Marine Meteorology Talents Training [PDF]
Lingli Fan, Guangya Zhang
openalex +1 more source
Joint modulation of coastal rainfall in Northeast Australia by local and large‐scale forcings
Spatially heterogeneous rainfall patterns over the coastal regions of northern Queensland are consistent between radar observations and model simulations. Rainfall propagation modulates the average rainfall distribution, leading to inhomogeneous rainfall patterns along the coast.
T. L. Dao +6 more
wiley +1 more source
Improving Precipitation Estimation Using Convolutional Neural Network [PDF]
Precipitation process is generally considered to be poorly represented in numerical weather/climate models. Statistical downscaling (SD) methods, which relate precipitation with model resolved dynamics, often provide more accurate precipitation estimates
AghaKouchak, A +3 more
core
The ENSO–East Asia teleconnection exhibits strong subseasonal variability, driven by ENSO‐related tropical convection anomalies over the Indian Ocean, Maritime Continent, and central Pacific. GloSea6 fails to accurately predict this teleconnection due to errors in simulating the convection anomalies‐induced teleconnection patterns.
Chang‐Hyun Park, Seok‐Woo Son
wiley +1 more source
Loss Adaptive Curriculum Learning for Ground-Based Cloud Detection
While deep learning has advanced object detection through hierarchical feature learning and end-to-end optimization, conventional random sampling paradigms exhibit critical limitations in addressing hyperspectral ambiguity and low-distinguishability ...
Tianhong Qi, Yanyan Hu, Juan Wang
doaj +1 more source
We modeled the behavior of an Austrian alpine forest ecosystem on calcareous soils under changing climate and atmospheric nitrogen deposition scenarios.
Friedl Herman +9 more
doaj +1 more source

