Exploring strongly coupled land/atmosphere data assimilation for numerical weather prediction
Soil moisture and soil temperature can be analyzed effectively in a numerical weather prediction system by expanding the atmospheric ensemble‐based data assimilation to update the soil states also. The best results were obtained here using a strongly coupled land/atmosphere data assimilation to assimilate the standard atmospheric observations plus ...
Clara Draper +2 more
wiley +1 more source
Intercept Estimation of Semi-Parametric Joint Models in the Context of Longitudinal Data Subject to Irregular Observations. [PDF]
Ledesma L, Pullenayegum E.
europepmc +1 more source
Die werk van die Heilige Gees in die opbou van die kerk volgens Handelinge
A. G. S. Venter
openalex +2 more sources
Ensemble Kalman filters (EnKFs) with quality control (QC) are commonly used in the data assimilation (DA) of all‐sky satellite‐sensed infrared radiance (IR) observations. However, the statistical assumptions underlying EnKFs and QC are violated in such DA.
Man‐Yau Chan
wiley +1 more source
A review of AI-driven Google Earth Engine applications in surface water monitoring, assessment, and management. [PDF]
Jahangeer J, Joshi P, Kapoor A, Tang Z.
europepmc +1 more source
Comprehensive Hybrid Approach for LULC classification using GEE-API and ML
Vinay Shivamurthy +3 more
openalex +1 more source
Evaluating methods for high‐resolution, national‐scale seagrass mapping in Google Earth Engine
Marine habitat mapping using satellite imagery can provide baseline and monitoring data across large spatial scales and in remote locations globally. This study evaluates how key methodological choices influence the accuracy of open‐source (for non‐commercial use), cloud‐based satellite mapping workflows for seagrass meadows in the Maldives.
Matthew Floyd +2 more
wiley +1 more source
Generalized estimating equations for modeling cluster randomized trial data on smoking cessation among tuberculosis patients. [PDF]
Mahalingam V +4 more
europepmc +1 more source
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner +21 more
wiley +1 more source
The influence of dietary supplementation with ginger ethanol extract on laying hens' production performance, antioxidant capacity, and gut microbiota. [PDF]
Jin S +13 more
europepmc +1 more source

