Results 51 to 60 of about 612,415 (186)

A wildland fire model with data assimilation

, 2008
A wildfire model is formulated based on balance equations for energy and fuel, where the fuel loss due to combustion corresponds to the fuel reaction rate.
Albini, Albini, Anderson, Anderson, Anthony Vodacek, Asensio, Asensio, Asensio, Baines, Balbi, Beezley, Bengtsson, Burgers, Campos, Carey, Chen, Chen, Clark, Clark, Class, Codina, Craig C. Douglas, Dold, Dupuy, Dupuy, Dupuy, Emara-Shabaik, Ern, Evensen, Evensen, Ferragut, Franca, Franca, Frandsen, Frank-Kamenetskii, Gazdag, Grishin, Grishin, Gubernov, Gubernov, Hager, Houtekamer, Infeld, Jan Mandel, Janice L. Coen, Johns, Jonathan D. Beezley, Kalman, Kalnay, Larini, Law, Liao, Linn, Lynn S. Bennethum, Mercer, Mercer, Mercer, Mickens, Minjeong Kim, Morandini, Norbury, Norbury, Ononye, Pastor, Quintiere, Rastigejev, Richards, Richards, Robinson, Roessler, Ruan, Serón, Sherratt, Simeoni, Sussman, Theodoropoulos, Tippett, van Leeuwen, Viegas, Weber, Weber, Wotton, Zeldovich, Zhao, Zhou, Šembera   +85 more
core   +2 more sources

Assimilating SAR-derived water level data into a hydraulic model: a case study [PDF]

, 2011
Satellite-based active microwave sensors not only provide synoptic overviews of flooded areas, but also offer an effective way to estimate spatially distributed river water levels.
De Keyser, Robain, De Lannoy, Gabriëlle, Giustarini, Laura, Hoffmann, L, Hostache, Renaud, Matgen, Patrick, Montanari, Mara, Pauwels, Valentijn, Pfister, L, Plaza Guingla, Douglas Antonio, Savenije, HHG   +10 more
core   +2 more sources

Comparative and Quality Analysis of Radio Occultation Data from FY-3E/GNOS and COSMIC-2

Gaoyuan qixiang
Radio Occultation data are of great value in numerical weather forecasting and climate monitoring.This study evaluates the deviation characteristics of occultation data from the FY-3E/GNOS and COSMIC-2 satellites with ERA5 reanalysis data.The results ...
Shihan WANG, Shengpeng YANG, Yan’an YIN   +2 more
doaj   +1 more source

Content in the Context of 4D-Var Data Assimilation. II: Application to Global Ozone Assimilation [PDF]

, 2011
Data assimilation obtains improved estimates of the state of a physical system by combining imperfect model results with sparse and noisy observations of reality. Not all observations used in data assimilation are equally valuable.
Bowman, Kevin, Jardak, Mohamed, Lee, Meemong, Sandu, Adrian, Singh, Kumaresh   +4 more
core   +1 more source

Effect of Radio Frequency Interference-Contaminated AMSR2 Signal Restoration on Soil Moisture Retrieval

Remote Sensing, 2022
Soil moisture is a key variable of the climate system. Microwave remote sensing has become an essential means of obtaining soil moisture because of the unique advantages of its all-day and all-weather observation capability.
Xuesong Bai, Zhengkun Qin, Zhaohui Lin, Wangbin Shen   +3 more
doaj   +1 more source

A Practical Method to Estimate Information Content in the Context of 4D-Var Data Assimilation. II: Application to Global Ozone Assimilation [PDF]

, 2012
Data assimilation obtains improved estimates of the state of a physical system by combining imperfect model results with sparse and noisy observations of reality. Not all observations used in data assimilation are equally valuable.
Bowman, Kevin, Jardak, Mohamed, Lee, Meemong, Sandu, Adrian, Singh, Kumaresh   +4 more
core   +1 more source

Influence of CO₂ observations on the optimized CO₂ flux in an ensemble Kalman filter [PDF]

Atmospheric Chemistry and Physics, 2014
In this study, the effect of CO2 observations on an analysis of surface CO2 flux was calculated using an influence matrix in the CarbonTracker, which is an inverse modeling system for estimating surface CO2 flux based on an ensemble Kalman filter.
J. Kim, H. M. Kim, C.-H. Cho
doaj   +1 more source

Improved Estimation of O-B Bias and Standard Deviation by an RFI Restoration Method for AMSR-2 C-Band Observations over North America

Remote Sensing, 2022
Spaceborne microwave radiometer observations play vital roles in surface parameter retrievals and data assimilation, but widespread radio-frequency interference (RFI) signals in the C-band channel result in a lack of valuable data over large areas ...
Wangbin Shen, Zhaohui Lin, Zhengkun Qin, Xuesong Bai   +3 more
doaj   +1 more source

Data Assimilation by Artificial Neural Networks for an Atmospheric General Circulation Model: Conventional Observation [PDF]

, 2014
This paper presents an approach for employing artificial neural networks (NN) to emulate an ensemble Kalman filter (EnKF) as a method of data assimilation.
Cintra, Rosangela S., Velho, Haroldo F. de Campos   +1 more
core  

Prediction of Sunspot Cycles by Data Assimilation Method [PDF]

, 2008
Despite the known general properties of the solar cycles, a reliable forecast of the 11-year sunspot number variations is still a problem. The difficulties are caused by the apparent chaotic behavior of the sunspot numbers from cycle to cycle and by the ...
Kitiashvili, I. N., Kosovichev, A. G.
core   +2 more sources