Author(s) | Paper title | Country | Pages |
Ph.L.Bykov | Optimal interpolation of inhomogeneous fields using neural networks | Russia | 1-03 |
A.Cheng, F.Yang | Replacing OPAC with MERRA2 Aerosols for the UFS | USA | 1-05 |
T.Elless, X.Wu, V.Tallapragada | Identifying Atmospheric River Reconnaissance Targets Using Ensemble Forecasts | USA | 1-07 |
K.Nonaka, S.Koyamatsu | Operational Use of GOES-16 Atmospheric Motion Vector (AMV) and ScatSat-1/OSCAT Data in JMA’s Global NWP System | Japan | 1-09 |
I.Okabe | Operational use of Himawari-8 CSR data of band 9 and 10 in JMA’s local NWP system | Japan | 1-11 |
R.J.Purser, M.Rancic, M.Pondeca | Multigrid Beta Filter Scheme for Modeling Background Error Covariance in 3DRTMA | USA | 1-13 |
M.Rancic, R.J.Purser, M.Pondeca | Plans to Estimate Adaptive Covariance Parameters Using a Neural Network | USA | 1-15 |
Z.Sassi, N.Fourrié, C.Birman, V.Guidard | Assimilation of satellite derived surface temperature over land in AROME-France model | France | 1-17 |
K. Sawada, Y. Honda | Effect of supersaturation constraint in a variational data assimilation system | Japan | 1-19 |
K.Wu, X.Wu, V.Tallapragada | A New Atmospheric River Quantification Metric | USA | 1-21 |
X.Wu, V.Tallapragada, S.Lord, K.Wu, M.Ralph | Impact of Atmospheric River Reconnaissance Dropsonde Data on NCEP GFS Forecast: A Case Study | USA | 1-23 |
Y.Xia, H.Wei, M.D.Gaines, J.Meng, G.Gayno, H.Lei, R.Yang, Y.Wu, F.Yang, M.Barlage, D.T.Kleist, V.Tallapragada | Preliminary Comparison and Evaluation of Soil Moisture Produced in the NCEP Global Land Data Assimilation System (GLDAS) | USA | 1-25 |
S.Yokota, T.Kadowaki, M.Oda, Y.Ota | Improving ensemble-based background error covariances of the hybrid 4DVar in JMA’s global analysis | Japan | 1-27 |
Author(s) | Paper title | Country | Pages |
K. Ishii, T. Shimbori, R. Kai, Y. Hasegawa, Y. Hayashi, H.Tsuchiyama | Improvement of volcanic ash cloud prediction in the Tokyo Volcanic Ash Advisory Center | Japan | 5-03 |
T.Kakehata, M.Kunii, K.Kawano, H.Kawada | Upgrade of JMA’s Mesoscale Ensemble Prediction System | Japan | 5-05 |
H.Kusabiraki, Y.Kitamura, M.Sawada, K.Matsubayashi, S.Nishimoto | Increasing Vertical Resolution and Updating Physical Processes in JMA’s Regional NWP System | Japan | 5-07 |
A.Revokatova, M.Nikitin, G.Rivin, I.Rozinkina, A.Nikitin, E.Tatarinovich | Simulation of polar lows over Norwegian and Barents seas using the COSMO-CLM and ICON models for the 2019–2020 cold season | Russia | 5-09 |
G.Rivin, I.Rozinkina, E.Astakhova, D.Blinov, A.Bundel’, N.Chubarova, I.Gorlach, A.Kirsanov, M.Shatunova, D.Alferov, M.Varentsov, T.Samsonov, D.Zakharchenko, Ph.Bykov, J.Khlestova, V.Kopeykin, M.Nikitin, A.Poliukhov, A.Revokatova, E.Tatarinovich | COSMO-Ru System: Status and Scientific Projects Including Testing of ICON-NWP | Russia | 5-11 |
T. Shimbori, K. Ishii, R. Kai, Y. Hasegawa, Yo.Hayashi, Yu.Hayashi | Renewal of the JMA Atmospheric Transport Model on the Volcanic Ash Advisory and Ash Fall Forecast Distribution System | Japan | 5-13 |
Author(s) | Paper title | Country | Pages |
J.Cummings, Z.Garraffo, D.Iredell, S.Paturi, Y.Hao, T.Spindler, B.Alasubramanian, A.Mehra | Ocean Data Impacts in the Real Time Ocean Forecast System: RTOFS-v2 | USA | 8-03 |
J.Kim, Y.C.Teng, G.Vernieres, T.Sluka, S.Paturi, Y.Hao, D.Worthen, B.Li, J.Wang, J.S.Zhu, H.C.Kim, D.Kleist | NOAA-NCEP Next Generation Global Ocean Data Assimilation System (NG-GODAS) | USA | 8-05 |
X.Liu, J.Kim, A.Mehra, D.Kleist, G.Vernieres, H.C.Kim, E.Bayler | Implementation of Ocean Biogeochemical Modeling and Ocean Color Data Assimilation within NOAA/NCEP’s Next-Generation Global Ocean Data Assimilation System (NG-GODAS) | USA | 8-07 |
S.Paturi, Y.Hao, J.Kim | Data Used in Global Ocean Modeling and Data Assimilation Systems at NOAA/NCEP | USA | 8-09 |
B.S.Strukov, Yu.D.Resnyanskii, А.А.Zelenko, V.N.Stepanov | Variability of water and heat exchanges through the Bering Strait in numerical experiments with the NEMO/SI3 model assimilating observational data | Russia | 8-11 |
Y.C.Teng, J.Kim, T.Sluka, D.Kleist | Implementation of Forcing-Bias Correction for the JEDI-Based Next Generation Global Ocean Data Assimilation System (NG-GODAS) | USA | 8-13 |