Synthesis of Ocean Observations Using Data Assimilation for Operational, Real-Time and Reanalysis Systems: A More Complete Picture of the State of the Ocean

被引：72

作者：

Moore, Andrew M. ^{[1
]}

Martini, Matthew J. ^{[2
]}

Akella, Santha ^{[3
]}

Arango, Hernan G. ^{[4
]}

Balmaseda, Magdalena ^{[5
]}

Bertino, Laurent ^{[6
]}

Ciavatta, Stefano ^{[7
]}

Cornuelle, Bruce ^{[8
]}

Cummings, Jim ^{[9
]}

Frolov, Sergey ^{[10
]}

Lermusiaux, Pierre ^{[11
]}

Oddo, Paolo ^{[12
]}

Oke, Peter R. ^{[13
]}

Storto, Andrea ^{[12
]}

Teruzzi, Anna ^{[14
]}

Vidard, Arthur ^{[15
]}

Weaver, Anthony T. ^{[16
]}

机构：

[1] Univ Calif Santa Cruz, Dept Ocean Sci, Santa Cruz, CA 95064 USA

[2] Met Off, Exeter, Devon, England

[3] NASA, Goddard Space Flight Ctr, Greenbelt, MD USA

[4] Rutgers State Univ, Dept Marine & Coastal Sci, New Brunswick, NJ USA

[5] European Ctr Medium Range Weather Forecasts, Reading, Berks, England

[6] Nansen Environm & Remote Sensing Ctr, Bergen, Norway

[7] Natl Ctr Earth Observat, Plymouth Marine Lab, Plymouth, Devon, England

[8] Univ Calif San Diego, Scripps Inst Oceanog, San Diego, CA 92103 USA

[9] NOAA, IMSG, NCEP, College Pk, MD USA

[10] Naval Res Lab, Monterey, CA USA

[11] MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[12] Ctr Maritime Res & Expt, La Spezia, Italy

[13] CSIRO, Hobart, Tas, Australia

[14] Ist Nazl Oceanog & Geofis Sperimentale, Trieste, Italy

[15] Univ Grenoble Alpes, Inria, Grenoble, France

[16] Ctr Europeen Rech & Format Avancee Calcul Sci, Toulouse, France

来源：

FRONTIERS IN MARINE SCIENCE | 2019年 / 6卷

关键词：

data assimilation; calculus of variations; Kalman filters; ensembles; modeling; HYBRID; SCHEME; IMPLEMENTATION; IMPACT; FILTER; ERROR; MODEL; BIAS;

D O I：

10.3389/fmars.2019.00090

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Ocean data assimilation is increasingly recognized as crucial for the accuracy of real-time ocean prediction systems and historical re-analyses. The current status of ocean data assimilation in support of the operational demands of analysis, forecasting and reanalysis is reviewed, focusing on methods currently adopted in operational and real-time prediction systems. Significant challenges associated with the most commonly employed approaches are identified and discussed. Overarching issues faced by ocean data assimilation are also addressed, and important future directions in response to scientific advances, evolving and forthcoming ocean observing systems and the needs of stakeholders and downstream applications are discussed.

引用

页数：6

共 50 条

[21] Quality control of ocean temperature and salinity profiles - Historical and real-time data
Ingleby, Bruce
Huddleston, Matt
JOURNAL OF MARINE SYSTEMS, 2007, 65 (1-4) : 158 - 175
[22] Real-time tracking of neuronal network structure using data assimilation
Hamilton, Franz
Berry, Tyrus
Peixoto, Nathalia
Sauer, Timothy
PHYSICAL REVIEW E, 2013, 88 (05):
[23] Improving real-time operational streamflow simulations using discharge data to update state variables of a distributed hydrological model
Silvestro, Francesco
Ercolani, Giulia
Gabellani, Simone
Giordano, Pietro
Falzacappa, Marco
HYDROLOGY RESEARCH, 2021, 52 (06): : 1239 - 1260
[24] Feasibility of real-time soil state and flux characterization for wastewater reuse using an embedded sensor network data assimilation approach
Wu, Che-Chuan
Margulis, Steven A.
JOURNAL OF HYDROLOGY, 2011, 399 (3-4) : 313 - 325
[25] Real-Time Track Prediction of Tropical Cyclones over the North Indian Ocean Using the ARW Model
Osuri, Krishna K.
Mohanty, U. C.
Routray, A.
Mohapatra, M.
Niyogi, Dev
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2013, 52 (11) : 2476 - 2492
[26] Data assimilation using particle filter for real-time identification of organ properties
Nakano, Sojuro
Miura, Satoshi
Victor, Parque
Torisaka, Ayako
Miyashita, Tomoyuki
JOURNAL OF ENGINEERING-JOE, 2019, 2019 (14): : 517 - 521
[27] Real-Time Operational Trial of Atmosphere-Ocean-Wave Coupled Model for Selected Tropical Cyclones in 2024
Lai, Sin Ki
Chan, Pak Wai
He, Yuheng
Chen, Shuyi S.
Kerns, Brandon W.
Su, Hui
Mo, Huisi
ATMOSPHERE, 2024, 15 (12)
[28] Near real-time predictions of tropical cyclone trajectory and intensity in the northwestern Pacific Ocean using echo state network
Na, Yongsu
Na, Byoungjoon
Son, Sangyoung
CLIMATE DYNAMICS, 2022, 58 (3-4) : 651 - 667
[29] Using Real-Time Sensing Data for Predicting Future State of Building Fires
Lin, Cheng-Chun
Zhao, Guanchao
Wang, Liangzhu
2015 INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2015, : 1313 - 1318
[30] Real-time assimilation of radar-based precipitation data and streamflow observations into a distributed hydrological model
Seo, DJ
Koren, V
Cajina, N
WEATHER RADAR INFORMATION AND DISTRIBUTED HYDROLOGICAL MODELLING, 2003, (282): : 138 - 142

← 1 2 3 4 5 →