FN Archimer Export Format
PT J
TI Metrics for the Evaluation of the Southern Ocean in Coupled Climate Models and Earth System Models
BT 
AF RUSSELL, Joellen L.
   KAMENKOVICH, Igor
   BITZ, Cecilia
   FERRARI, Raffaele
   GILLE, Sarah T.
   GOODMAN, Paul J.
   HALLBERG, Robert
   JOHNSON, Kenneth
   KHAZMUTDINOVA, Karina
   MARINOV, Irina
   MAZLOFF, Matthew
   RISER, Stephen
   SARMIENTO, Jorge L.
   SPEER, Kevin
   TALLEY, Lynne D.
   WANNINKHOF, Rik
AS 1:1;2:2;3:3;4:4;5:5;6:1;7:6;8:7;9:8;10:9;11:5;12:10;13:11;14:8;15:5;16:12;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;14:;15:;16:;
C1 Univ Arizona, Dept Geosci, Tucson, AZ 85721 USA.
   Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Miami, FL USA.
   Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USA.
   MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA 02139 USA.
   Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA.
   Natl Ocean & Atmospher Adm, Geophys Fluid Dynam Lab, Princeton, NJ USA.
   Monterey Bay Aquarium Res Inst, Moss Landing, CA USA.
   Florida State Univ, Geophys Fluid Dynam Inst, Tallahassee, FL 32306 USA.
   Univ Penn, Dept Earth & Environm Sci, Philadelphia, PA 19104 USA.
   Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
   Princeton Univ, Program Atmospher & Ocean Sci, Princeton, NJ 08544 USA.
   Natl Ocean & Atmospher Adm, Atlantic Oceanog & Meteorol Lab, Miami, FL USA.
C2 UNIV ARIZONA, USA
   UNIV MIAMI, USA
   UNIV WASHINGTON, USA
   MIT, USA
   UNIV CALIF SAN DIEGO, USA
   NOAA, USA
   MONTEREY BAY AQUARIUM RES INST, USA
   UNIV FLORIDA STATE, USA
   UNIV PENN, USA
   UNIV WASHINGTON, USA
   UNIV PRINCETON, USA
   NOAA, USA
IF 3.235
TC 27
UR https://archimer.ifremer.fr/doc/00673/78491/80788.pdf
   https://archimer.ifremer.fr/doc/00673/78491/80791.docx
   https://archimer.ifremer.fr/doc/00673/78491/80792.tiff
   https://archimer.ifremer.fr/doc/00673/78491/80793.tiff
   https://archimer.ifremer.fr/doc/00673/78491/80794.tiff
   https://archimer.ifremer.fr/doc/00673/78491/80795.tiff
   https://archimer.ifremer.fr/doc/00673/78491/80796.tiff
   https://archimer.ifremer.fr/doc/00673/78491/80797.tiff
   https://archimer.ifremer.fr/doc/00673/78491/80798.tiff
   https://archimer.ifremer.fr/doc/00673/78491/80799.tiff
   https://archimer.ifremer.fr/doc/00673/78491/80800.tiff
   https://archimer.ifremer.fr/doc/00673/78491/80801.tiff
   https://archimer.ifremer.fr/doc/00673/78491/80802.tiff
   https://archimer.ifremer.fr/doc/00673/78491/80803.tiff
   https://archimer.ifremer.fr/doc/00673/78491/80804.tiff
   https://archimer.ifremer.fr/doc/00673/78491/80805.tiff
   https://archimer.ifremer.fr/doc/00673/78491/80806.tiff
LA English
DT Article
CR OISO - OCÉAN INDIEN SERVICE D'OBSERVATION
DE ;Southern Ocean;heat uptake;carbon uptake;observationally based metrics
AB The Southern Ocean is central to the global climate and the global carbon cycle, and to the climate's response to increasing levels of atmospheric greenhouse gases, as it ventilates a large fraction of the global ocean volume. Global coupled climate models and earth system models, however, vary widely in their simulations of the Southern Ocean and its role in, and response to, the ongoing anthropogenic trend. Due to the region's complex water-mass structure and dynamics, Southern Ocean carbon and heat uptake depend on a combination of winds, eddies, mixing, buoyancy fluxes, and topography. Observationally based metrics are critical for discerning processes and mechanisms, and for validating and comparing climate and earth system models. New observations and understanding have allowed for progress in the creation of observationally based data/model metrics for the Southern Ocean. Metrics presented here provide a means to assess multiple simulations relative to the best available observations and observational products. Climate models that perform better according to these metrics also better simulate the uptake of heat and carbon by the Southern Ocean. This report is not strictly an intercomparison, but rather a distillation of key metrics that can reliably quantify the "accuracy" of a simulation against observed, or at least observable, quantities. One overall goal is to recommend standardization of observationally based benchmarks that the modeling community should aspire to meet in order to reduce uncertainties in climate projections, and especially uncertainties related to oceanic heat and carbon uptake. Plain Language Summary Observationally based metrics are essential for the standardized evaluation of climate and earth system models, and for reducing the uncertainty associated with future projections by those models. 
PY 2018
PD MAY
SO Journal Of Geophysical Research-oceans
SN 2169-9275
PU Amer Geophysical Union
VL 123
IS 5
UT 000436111400001
BP 3120
EP 3143
DI 10.1002/2017JC013461
ID 78491
ER

EF