Sentences with phrase «from global reanalysis»

[11] H.E. Brooks, J.W. Lee, and J.P. Craven, «The spatial distribution of severe thunderstorm and tornado environments from global reanalysis data,» Atmos.

Type 2 dynamic downscaling refers to regional weather (or climate) simulations in which the regional model's initial atmospheric conditions are forgotten (i.e., the predictions do not depend on the specific initial conditions), but results still depend on the lateral boundary conditions from a global numerical weather prediction where initial observed atmospheric conditions are not yet forgotten, or are from a global reanalysis.

We will analyze synoptic - scale weather patterns from global reanalysis models over the past 50 years, utilizing a variety of techniques including self - organizing maps, such that these weather patterns can be tied to variations in core proxies, as well as relate this to ten years (2003 - 2013) of records from about a dozen automated weather stations located on and near McCall Glacier.

Not exact matches

Here we present an analysis of daily global fire weather trends from 1979 to 2013 based on three sub-daily global meteorological data sets (the National Center for Environmental Prediction (NCEP) Reanalysis, NCEP - DOE Reanalysis II and the European Centre for Medium - Range Weather Forecasts (ECMWF) Interim Reanalysis) 35,36,37 between ∼ 0.75 ° and 2.0 ° grid cell resolution.

It is not difficult to calculate the actual potential intensity from SST and atmospheric soundings, and this can be done as well for reanalysis and global model data sets.

Our observational studies (Gray and Schwartz, 2010 and 2011) of the variations of outward radiation (IR + albedo) energy flux to space (ISCCP data) vs. tropical and global precipitation increase (from NCEP reanalysis data) indicates that there is not a reduction of global net radiation (IR + Albedo) to space which is associated with increased global or tropical - regional rainfall.

These climate - related land storage effects could be significant for global sea - levels, though unfortunately there seem to be very few direct experimental measurements of the factors involved, and so the only studies of these effects seem to have been from computer modelling of data from weather data «reanalysis» models (e.g., ERA - 40).

The 20th Century Reanalysis version 2 (20CRv2c) dataset contains global weather conditions and their uncertainty in six hour intervals from the year 1851 to 2012.

The 20th Century Reanalysis version 2 (20CRv2) dataset contains global weather conditions and their uncertainty in six hour intervals from the year 1871 to 2012.

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.

«Trends and acceleration in global and regional sea levels since 1807» «A 20th century acceleration in global sea - level rise» «Sea - level rise from the late 19th to the early 21st century» «An anomalous recent acceleration of global sea level rise» «Probabilistic reanalysis of twentieth - century sea - level rise»

They are the JRA - 55 reanalysis and combined products of the Global Precipitation Climatology Centre (GPCC) based on measurements from rain gauges.

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 - 2014.

«Trends and acceleration in global and regional sea levels since 1807» «A 20th century acceleration in global sea - level rise» «Sea - Level Rise from the Late 19th to the Early 21st Century» «An Anomalous Recent Acceleration of Global Sea Level Rise» «Probabilistic reanalysis of twentieth - century sea - level rise&global and regional sea levels since 1807» «A 20th century acceleration in global sea - level rise» «Sea - Level Rise from the Late 19th to the Early 21st Century» «An Anomalous Recent Acceleration of Global Sea Level Rise» «Probabilistic reanalysis of twentieth - century sea - level rise&global sea - level rise» «Sea - Level Rise from the Late 19th to the Early 21st Century» «An Anomalous Recent Acceleration of Global Sea Level Rise» «Probabilistic reanalysis of twentieth - century sea - level rise&Global Sea Level Rise» «Probabilistic reanalysis of twentieth - century sea - level rise»

The datasets considered include a blended in situ - satellite dataset extending from 1923 to 2012 (Brown), the National Oceanic and Atmospheric Administration (NOAA) snow chart Climate Data Record for 1968 — 2012, the Global Land Data Assimilation System version 2.0 (GLDAS - 2 Noah) reanalysis for 1951 — 2010, and the NOAA 20th - century reanalysis, version 2 (20CR2) covering 1948 — 2012.

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 - 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.

Detailed investigation of DTR - CR flux relationships from an expanded station - based dataset, and reanalysis data found no significant associations between either the DTR and periodic (11 - year and 1.68 - year) solar variations, or FD events at global or regional scales (Laken et al. 2012c).

Excuse me for pointing you to a physical oceanography textbook used by Texas A&M University and in particular to Figure 5.8 Global map of annual - mean insolation into the sea in W / m2 calculated from the ECMWF 40 - year reanalysis.

His Figure 6 has the 400 hPa specific humidity from the NCEP Reanalysis from 1948 - 2008 as evidence of a downward global trend, which is similar to Paltridge et al. (2009).

I do read the Curry et al (2006) paper you are refering to and at the page 1028 (right top), you wrote: the satellite - derived dataset of WHCC showed a global increased in the number of category 4 and 5 hurricanes since 1970; I would love to know where you found the satellite data from 1970 and who has done the reanalysis in your team?

The graph at right shows how much warmer each month is than the annual global mean (derived from the MERRA2 reanalysis over 1980 - 2015 with an uncertainty range).

Compute the surface radiative forcing and its amplification by the atmospheric warming in a manner following Myhre and Stordal 1997, using gridded global fields of of the input variables obtained from observations (e.g. the ECMWF reanalysis, ISCCP clouds, satellite ozone, some sort of aerosol optical depth from satellite.