Sentences with phrase «ocean reanalysis oras4»

The paper is based on the European Centre for Medium - Range Weather Forecasts (ECMWF) Ocean Reanalysis ORAS4.

Ocean reanalyses can potentially provide new insights into global OHC variations, but ocean reanalysis is in its infancy.

There is large uncertainty in the ocean reanalysis products (especially in the transports), difficult to quantify.

Balmaseda, M. A., Mogensen, K. S. & Weaver, A. T. Evaluation of the ECMWF ocean reanalysis ORAS4.

Mercator global Eddy permitting ocean reanalysis GLORYS1V1: Description and results.

Comparison of the Atlantic Meridional Overturning Circulation between 1960 and 2007 in six ocean reanalysis products (Climate Dynamics)

Time series of AMOC anomaly at 1000 m depth at 45 ° N (top panels) and 26.5 ° N (bottom panels) for the set of ocean reanalysis products (left panels) and the set of No Assimilation forced ocean model simulations (right panels).

Using CMIP5 simulations prescribed with historical greenhouse gas concentrations and future projections (representative concentration pathway 8.5), together with the ECMWF (European Centre for Medium - Range Weather Forecast) operational ocean reanalysis of the observed climate and tide - gauge records to verify the model results, the authors found that projected climate change will enhance El Niño - related sea level extremes.

I far as i know GODAS providing pentad data and ECCO2 provides 3 - day averages, please let me know where can i get the daily ocean reanalysis data.

Arctic sea ice in the global eddy - permitting ocean reanalysis ORAP5.

The ocean reanalysis Curry refers to is Balmaseda et al. (2013).

Balmaseda et al. (2013) was a key study on this subject, using ocean heat content data from the European Centre for Medium - Range Weather Forecasts» Ocean Reanalysis System 4 (ORAS4).

The five ensemble members of the ORAS4 ocean reanalysis OHC for 0 — 700m and full - depth ocean are shown, where they have been aligned for 1980 to 1985, in 1022 J.

It is disappointing that they do not use our stuff (based on ocean reanalysis with a comprehensive model that inputs everything from SST, sea level, XBTs and Argo plus surface fluxes and winds) or that from Karina von Schuckmann.

Reconstruction of past decades sea level using thermosteric sea level, tide gauge, satellite altimetry and ocean reanalysis data.

Not exact matches

Using reanalysis moisture budgets and drawing on the attribution work of others (e.g. Hendon et al. [2013]-RRB-, Fasullo et al. [2013] demonstrate that the 2011 La Niña was also distinct from others in the altimeter era in that it coincided with a strong negative phase of the Indian Ocean Dipole (IOD) and positive phase of the Southern Annular Mode (SAM)(Fig. 3c).

This year we received 14 June SIO submissions from dynamical models, of which 3 were from ice - ocean models forced by atmospheric reanalysis or other atmospheric model output and 12 were from fully - coupled general circulation models.

Decadal hindcast simulations of Arctic Ocean sea ice thickness made by a modern dynamic - thermodynamic sea ice model and forced independently by both the ERA - 40 and NCEP / NCAR reanalysis data sets are compared for the first time.

... a pronounced strengthening in Pacific trade winds over the past two decades — unprecedented in observations / reanalysis data and not captured by climate models — is sufficient to account for the cooling of the tropical Pacific and a substantial slowdown in surface warming through increased subsurface ocean heat uptake.

Abstract:... Here we show that a pronounced strengthening in Pacific trade winds over the past two decades — unprecedented in observations / reanalysis data and not captured by climate models — is sufficient to account for the cooling of the tropical Pacific and a substantial slowdown in surface warming through increased subsurface ocean heat uptake.

A detailed reanalysis is presented of a «Bayesian» climate parameter study (Forest et al., 2006) that estimates climate sensitivity (ECS) jointly with effective ocean diffusivity and aerosol forcing, using optimal fingerprints to compare multi-decadal observations with simulations by the MIT 2D climate model at varying settings of the three climate parameters.

The increase in deep ocean heat content is also a robust result in data sets that do not include reanalysis.

Landward zonal wind versus temperature difference between land and ocean during monsoon season [NCEP / NCAR reanalysis data (35)-RSB-.

CERA - 20C is part of the EU - funded ERA - CLIM2 project and extends the reanalysis capability developed in ERA - 20C to the ocean and sea - ice components.

In this paper, the intensity and the spatial structure of ocean - atmosphere feedback terms (precipitation, surface wind stress, and ocean surface heat flux) associated with ENSO are evaluated for six different reanalysis products.

Uncertainty in the ocean - atmosphere feedbacks associated with ENSO in the reanalysis products

According to data from the reanalysis produced by the European Centre for Medium - Range Weather Forecasts, the January to October combined land and ocean global average temperature would place 2014 as third or fourth highest for this dataset, which runs from 1958.

In the following paper, Trenberth and collaborators argue that the «missing» heat is sequestered in the ocean, below 700 m: Ref: «Distinctive climate signals in reanalysis of global ocean heat content» (Geophysical research letters — first published 10 May 2013)

Other data sources were investigated, including the new Berkeley land - ocean temperature data, the MERRA weather model reanalysis, and satellite radiometer datasets from AIRS and AVHRR.

However, as we recently discussed, the increase in deep ocean heat content is a robust result in data sets that do not include reanalysis.

I've presented videos and gif animations to show the impacts of ENSO on ISCCP Total Cloud Amount data (with cautions about that dataset), CAMS - OPI precipitation data, NOAA's Trade Wind Index (5S - 5N, 135W - 180) anomaly data, RSS MSU TLT anomaly data, CLS (AVISO) Sea Level anomaly data, NCEP / DOE Reanalysis - 2 Surface Downward Shortwave Radiation Flux (dswrfsfc) anomaly data, Reynolds OI.v2 SST anomaly data and the NODC's ocean heat content data.

Resolution: Horizontal 12 km in the Arctic to < 16 km in North Atlantic, Vertical 28 hybrid layers, 3m top layer Download Data: marine.copernicus.eu Contact: Laurent Bertino (topaz (at) nersc.no) References: Xie, J., Bertino, L., Counillon, F., Lisæter, K. A., and Sakov, P.: Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991 — 2013, Ocean Sci., 13, 123 - 144, https://doi.org/10.5194/os-13-123-2017, 2017.

The ECMWF - MyOcean2 eddy - permitting ocean and sea - ice reanalysis ORAP5.

The researchers compared the GNSS - R satellite measurements with data from other sources, including tropical cyclone best track data from the National Oceanic and Atmospheric Administration's National Centers for Environmental Information; two climate reanalysis products; and a spaceborne scatterometer, a tool that uses microwave radar to measure winds near the surface of the ocean.

Metzger et al. (NRL Stennis Space Center), 5.0 (3.4 - 6.0), Modeling The Global Ocean Forecast System (GOFS) 3.1 was run in forecast mode without data assimilation, initialized with July 1, 2015 ice / ocean analyses, for ten simulations using National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) atmospheric forcing fields from 2005 - Ocean Forecast System (GOFS) 3.1 was run in forecast mode without data assimilation, initialized with July 1, 2015 ice / ocean analyses, for ten simulations using National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) atmospheric forcing fields from 2005 - ocean analyses, for ten simulations using National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) atmospheric forcing fields from 2005 - 2014.

Balmaseda, M. A., K. E. Trenberth, and E. Källén, 2013: Distinctive climate signals in reanalysis of global ocean heat content.

Hu, 2012: Uncertainty in the ocean - atmosphere feedbacks associated with ENSO in the reanalysis products.

For the July report, we received 14 June SIO submissions from dynamical models: 5 from ice - ocean models forced by atmospheric reanalysis or other atmospheric model output (in green in Figure 3) and 9 from fully coupled general circulation models (in blue in Figure 3).

NRL - ocn - ice, 5.2 (4.3 - 6.0), Modeling (ice - ocean) The Global Ocean Forecast System (GOFS) 3.1 was run in forecast mode without data assimilation, initialized with June 1, 2016 ice / ocean analyses, for ten simulations using National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) atmospheric forcing fields from 2005 - ocean) The Global Ocean Forecast System (GOFS) 3.1 was run in forecast mode without data assimilation, initialized with June 1, 2016 ice / ocean analyses, for ten simulations using National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) atmospheric forcing fields from 2005 - Ocean Forecast System (GOFS) 3.1 was run in forecast mode without data assimilation, initialized with June 1, 2016 ice / ocean analyses, for ten simulations using National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) atmospheric forcing fields from 2005 - ocean analyses, for ten simulations using National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) atmospheric forcing fields from 2005 - 2014.

http://onlinelibrary.wiley.com/doi/10.1002/grl.50382/full Distinctive climate signals in reanalysis of global ocean heat content Here we present the time evolution of the global ocean heat content for 1958 through 2009 from a new observation - based reanalysis of the ocean.

The controversial connection between cosmic rays, solar activity, and cloud cover is investigated using a climatological reconstructed reanalysis product: the North American Regional Reanalysis which provides high - resolution, low, mid-level, high, and total cloud cover data over a Lambert conformal conic projection permitting land / ocean discrreanalysis product: the North American Regional Reanalysis which provides high - resolution, low, mid-level, high, and total cloud cover data over a Lambert conformal conic projection permitting land / ocean discrReanalysis which provides high - resolution, low, mid-level, high, and total cloud cover data over a Lambert conformal conic projection permitting land / ocean discrimination.

Balmaseda, M. A., Trenberth, K. E. & Källén, E. Distinctive climate signals in reanalysis of global ocean heat content.

Ryan Maue, if we assume that Kevin Trenbreth has the seminal paper on atmospheric water vapor products in the paper: «Trends and variability in column - integrated atmospheric water vapor», then I have the distinct view that we only have water vapor data that would pass muster with Trenberth for the period 1988 forward and only over the oceans in the form of the RSS SSM / I measurements / reanalysis.

This is captured approximately by at least one recent ocean heat reanalysis — despite the shortness of reasonable data records.

Thus the trend at least in the South Indian Ocean seems to be robust, even after satellite reanalysis by K. Hoarau.

But the bottom line is that there does not seem to be any observational support for this large sequestration of heat in the deep ocean that is shown by the reanalysis.

Regarding flatness over this period, the Lyman and Johnson paper referenced by Judith says this: «In recent years, from 2004 to 2011, while the upper ocean is not warming, the ocean continues to absorb heat at depth (e.g., Levitus et al. 2012; von Schuckman and Le Traon 2011), here estimated at a rate of 0.56 Wm2 when integrating over 0 — 1800 m.» That 0.56 Wm2 figure is again pretty close to what the Balmeseda et al. reanalysis produces.

ABSTRACT Sampling uncertainties in the voluntary observing ship (VOS)- based global ocean — atmosphere flux fields were estimated using the NCEP — NCAR reanalysis and ECMWF 40 - yr Re-Analysis (ERA - 40) as well as seasonal forecasts without data assimilation.

As I've noted above, Judith doesn't appear to show any like - for - like comparison which suggests inconsistency between the reanalysis and observational data (keeping with the convention of separating the two in these terms despite what I've said above) for recent upper and lower ocean comparative trends.

There is an interesting new wiki site, Reanalyses.org, that has been developed by a number of groups dedicated to documenting the various reanalysis products for atmosphere and ocean that are increasingly being made available.