Results 121 to 130 of about 69,867 (301)
Graduate Catalog, 1996-1997 [PDF]
https://scholar.valpo.edu/gradcatalogs/1024/thumbnail ...
Valparaiso University
core +1 more source
This study analysed and modelled summertime indoor temperature dynamics in the Netherlands using a unique long‐term crowdsourced dataset from seven residences (spanning 2–27 years). Indoor temperatures were found to rise and cool more slowly than outdoors (mean 260 minute lag), with heatwave signals persisting about five days.
Esther E. M. Peerlings +1 more
wiley +1 more source
Spartan Daily, March 27, 2019 [PDF]
Volume 152, Issue 27https://scholarworks.sjsu.edu/spartan_daily_2019/1026/thumbnail ...
San Jose State University, School of Journalism and Mass Communications
core +1 more source
The standalone non‐local thermodynamic equilibrium (NLTE) bias correction schemes, utilizing a look‐up‐table and a linear regression method developed in Part I and new quality control procedures for short‐wave infrared radiances (SWIR), were tested within a data assimilation framework.
Agnes H. N. Lim +3 more
wiley +1 more source
Physically consistent mesoscale model evaluation in complex terrain
This study introduces a novel approach for evaluating mesoscale atmospheric models in complex terrain by selecting physically consistent grid points and applying height‐based corrections. The method corrects for sensor height and terrain elevation differences between model and observations using a time‐varying lapse rate.
Gaspard Simonet +2 more
wiley +1 more source
Spartan Daily, April 29, 2009 [PDF]
Volume 132, Issue 47https://scholarworks.sjsu.edu/spartandaily/10584/thumbnail ...
San Jose State University, School of Journalism and Mass Communications
core +1 more source
Ensemble Kalman filter in latent space using a variational autoencoder pair
The use of the ensemble Kalman filter (EnKF) in strongly nonlinear or constrained atmospheric, oceanographic, or sea‐ice models can be challenging. Applying the EnKF in the latent space of a variational autoencoder (VAE) ensures that the ensemble members satisfy the balances and constraints present in the model.
Ivo Pasmans +4 more
wiley +1 more source
METEOROLOGICAL READINESS AS A COMPONENT OF AIR TRAFFIC CONTROLLERS PROFESSIONAL TRAINING
Olga KORINNA
openalex +1 more source
Data assimilation with extremum Monte Carlo methods
This study presents the extremum Monte Carlo filter as a data assimilation method and, in particular, a variant of the variational approach (three‐ and four‐dimensional variational), where the state estimates are obtained by solving an optimization problem numerically over a space of prediction functions, instead of the state space itself.
Karim Moussa, Siem Jan Koopman
wiley +1 more source

