Sentences with phrase «ocean reanalysis data»

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.

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

Not exact matches

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.

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

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 (ORocean heat content data from the European Centre for Medium - Range Weather Forecasts» Ocean Reanalysis System 4 (OROcean Reanalysis System 4 (ORAS4).

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

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.

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 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.

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.

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.

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.

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.