Rainfall variability from the other two recently produced reanalyses, the ECMWF Re-Analysis Interim (ERAI), and the Modern Era Retrospective-analysis for Research and Applications (MERRA), is also analyzed. Submitting inefficient requests will result in very long waiting times ! a ERAI; and b MERRA. Lead-lag SST-precipitation correlation for various reanalyses and for observations over the tropical western Pacific (averaged over 10°S–10°N, 130°–150°E) for respective SSTs were used (left panel), and for NCDC SST as the benchmark (right panel). For information on MARS request efficiency, please click The paper is available at: http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-12-00682.1, In reply to Re: Global 0.5 deg hourly land surface air temperature ... by Anonymous (not verified). However, that approximate height is proportional to temperature (in K), so the standard atmosphere gives slightly different results to those assuming a uniform scale height, see: https://www.ecmwf.int/en/forecasts/documentation-and-support/60-model-levels. This webpage offers you access to monthly or longer-term averaged global fields from these climatologies. Dear Era-Interim staff, I would like to ask about the units of the runoff data. Have downloaded the NetCDF file and was cable of reading the file but unable to plot the data. Lee, D. Kim, S.D. Thank you. They are also available as monthly means, see the menu option "Monthly means of daily means" on the left hand side of the above page. Monthly Weather Review, doi: http://dx.doi.org/10.1175/MWR-D-12-00214.1. The time series of ∆LOD (red curve, converted to an equivalent ∆AAM using Eq. Allan, E.F. Wood, and A.J.

This assumes a surface pressure of 1013.25 mb and scale height of the atmosphere of 7 km. This product also exhibits a different covariance between vertical velocity, cloud water and humidity than other reanalyses, suggesting that the phase bias is related to deficiencies in the parameterization of moist convective processes. In reply to Dear Cathy, It turns out that it's relatively rare and the non-negative values appear to match other results and to be of sufficient accuracy. Access Public Datasets The file should be around 58 KB.

Time series of the number of detected ARs in each winter half-year over 1980–2010 in the five reanalyses are shown in Figure 1 (taken from JGR paper). The time series for ∆AAM in panel (e) is slightly shorter due to the shorter record of the ERA-40 dataset. Reanalyses.org is a collaboration of the Atmospheric Circulation Reconstructions over the Earth initiative, the Global Climate Observing System (GCOS) Working Group on Surface Pressure, and the World Climate Research Programme, and their partners. I seem to be getting a few negative values for 3-hourly precipitation rate when subtracting the 3-hourly accumulated steps and dividing by the interval. (Migrated to Atmosphere Data Store), CAMS Climate Forcing Estimates (2003 -2012) Will be extended, ICOADS v2.5.1 with interpolated NOAA 20CR feedback. © European Centre for Medium-Range Weather Forecasts, CAMS Reanalysis.

Hi, I need to know what variables (T, UV winds, surface pressure, etc.) Time series of the number of detected ARs in each winter half-year over 1980–2010 in the five reanalyses are shown in Figure 1 (taken from JGR paper). In contrast, over the Eastern Pacific (130-80W, 10S-10N), trends are less significant but there is evidence for a tendency towards positive SLP trends starting in the late 1950s or 1960s (see bottom figure below). Comparisons on the daily scale between historical reanalysis data and historical upper-air observations were performed for Svalbard for the cold winters 1911/1912 and 1988/89, the warm winters 1944/1945 and 2005/2006, and the International Geophysical Year 1957/58. Between the end of the reconstruction period of REC2 (1957) and the start of ERA-Interim (1989) we show the calibration period of REC2. How do we process ERA-Interim data in Matlab and obtain the plot for any of the parameters. ERA-Interim is produced by the European Centre for Medium-Range Weather Forecasts (ECMWF). From Chung, E.-S., B. J. Soden, B. J. Sohn, and J. Schmetz (2013), An assessment of the diurnal variation of upper tropospheric humidity in reanalysis data sets, J. Geophys. Dyn., doi 10. The list can be viewed here, https://s-rip.ees.hokudai.ac.jp/mediawiki/index.php/Notes_for_Authors. Figure 2: The IVT (in kg m-1 s-1) for (a) 20CR, (c) CFSR, (d) ERAIN, (e) MERRA, (f) NCEP–NCAR and (b) 20CR MSLP field (in hPa) at 1200 UTC 10th December 1994 before the largest flood event on 11th December 1994 in the Ayr at Mainholm basin in Scotland.

In order to find this date, you need to look at the ERA-Interim data webpage: http://apps.ecmwf.int/datasets/data/interim-full-daily/levtype=sfc/. (Migrated to Atmosphere Data Store) CAMS Near-real-time (July 2012 - present) CAMS Global Fire Assimilation … Diabatic heating related to the MJO variability in the CFSR is analyzed and compared with that derived from large-scale fields. So you could assume the standard atmosphere and interpolate between these two levels. This finding also reinforces the view expressed in a recent work by the authors that the most significant discrepancies among the reanalysis datasets are in the long-term mean and long-term trend. thank you for your interest in ERA5 and ERA-Interim. Our three-step adjustments include the spatial downscaling to 0.5-degree grid cells, the temporal interpolation from 6-hourly (in ERA-40 and NCEP/NCAR) to hourly using the MERRA hourly SAT climatology for each day (and the linear interpolation from 3-hourly in ERA-Interim to hourly), and the mean bias correction in both monthly mean maximum and minimum SAT using the CRU data. SLP is expressed as the change (hPa) over the window length. To illustrate this, we examine trends and 20-yr averages for those regions and seasons that exhibit large sea-ice changes and have enough data for comparison. In this case, a close agreement is found among all, including 20CR, datasets.

It is presented as a gridded data set at approximately 0.7 degrees spatial resolution, and 37 atmospheric levels. Both of these parameters can be downloaded from the webpage https://apps.ecmwf.int/datasets/data/interim-full-daily/levtype=sfc/ at sub-daily temporal resolution. NCEP Climate Forecast System (CFSR), (2) ECMWF ERA-Interim (ERAIN), (3) Twentieth Century Reanalysis (20CR), (4) NASA Modern Era Retrospective-Analysis for Research and Applications (MERRA), and (5) NCEP–NCAR.
Feature-based ERA-Interim Climatologies .

In reply to How is the CAPE calculated by Lu Sun (not verified). Kumar, A., L. Zhang and W. Wang, 2012: Sea Surface Temperature - Precipitation Relationship in Different Reanalyses. Reanalyses.org is maintained by CIRES at CU Boulder and is supported in part by NOAA/ESRL Physical Sciences Division, the NOAA Climate Program Office, and the US Department of Energy's Office of Science (BER). As shown in Figure 1, a negative dependence was found between AR frequency and the winter half-year Scandinavian Pattern. I downloaded data from the Interim ERA and forgot to rename it. One of the uncertainties in our final products can be quantified by their differences in the true monthly mean (using 24 hourly values) and the monthly averaged diurnal cycle. The infrared satellite measurements indicate a slightly later diurnal minimum over land relative to most reanalyses and the microwave satellite measurements, suggesting that cloud masking of the infrared radiances may introduce a small (~ 3 hr) bias in the phase.

41, 95, 138,  70.29,31.16,0,45.88,  295F8A,  ERA-Interim I see the last date again. Land surface air temperature (SAT) is one of the most important variables in weather and climate studies, and its diurnal cycle and day-to-day variation are also needed for a variety of applications. 245, 126, 32,  0,48.57,86.94,3.92,  F57E20,  NCEP-R1 From Chung, E.-S., B. J. Soden, B. J. Sohn, and J. Schmetz (2013), An assessment of the diurnal variation of upper tropospheric humidity in reanalysis data sets, J. Geophys. Access Public Datasets In addition, there is the parameter "Total column water" (code 136.128).

Applying this same methodology to other accumulated parameters e.g. The link to the S-RIP page has examples for Python and IDL. The dashed, horizontal lines represent the 95% range of trends based on 1,000 synthetic AR(1) time series. Res. (b) The original (dark blue) and the modified ∆AAM (light blue) for 20CR. here.

Tx. For more general information on the Public Datasets, please start with The modern RAs show significant improvement in their representation of the mean state and subseasonal variability of precipitation when compared to the two older NCEP RAs. ERA-Interim assimilates from land met stations and moored buoy arrays such as TAO, TRITON and RAMA. The final products have exactly the same monthly maximum and minimum SAT as the CRU data, and perform well in comparison with in situ hourly measurements over six sites and with a regional daily SAT dataset over Europe.

ERA‐Interim is the latest global atmospheric reanalysis produced by the ECMWF*. The Sparc Reanalysis Intercomparison Project (S-RIP) has a suggested list of colors to use for comparing reanalysis time-series. In reply to obtaining ERA-interim question: last date by Cathy.Smith@noaa.gov. 95, 152, 198,  52.02,23.23,0,22.35,  5F98C6,  ERA5 How can I automatically find the last date of the ERA-inerim? Because of the sparseness of in situ observations available in the tropics and strong coupling between convection and large-scale circulation, the accuracy of tropical rainfall from the reanalyses not only measures the quality of reanalysis rainfall but is also to some extent indicative of the accuracy of the circulations fields. One reply on “Downloading ERA-Interim data for WRF” WRFV3.9.1 with ERA-Interim data on ORR2 – MetClim says: March 5, 2018 at 17:11 […] Downloading ERA-Interim data for WRF […] Comments are closed. ERA-Interim is a global atmospheric reanalysis that is available from 1 January 1979 to 31 August 2019. The ratio is defined as the sum of power over the MJO band (wavenumber 1-5, period 30-60 days) divided by that of the westward propagating counterpart.

Re: Global 0.5 deg hourly land surface air temperature ... http://dx.doi.org/10.1175/MWR-D-12-00214.1, Atmospheric Circulation Reconstructions over the Earth initiative, Global Climate Observing System (GCOS) Working Group on Surface Pressure, US Department of Energy's Office of Science (BER). I assume changes in geopotential at 100 m would be fairly negligible over long periods of time. The. Global hourly 0.5-degree SAT datasets are developed here based on four reanalysis products [MERRA (1979-2009), ERA-40 (1958-2001), ERA-Interim (1979-2009), and NCEP/NCAR (1948-2009)] and the CRU TS3.10 data for 1948-2009. 1017mb? Our three-step adjustments include the spatial downscaling to 0.5-degree grid cells, the temporal interpolation from 6-hourly (in ERA-40 and NCEP/NCAR) to hourly using the MERRA hourly SAT climatology for each day (and the linear interpolation from 3-hourly in ERA-Interim to hourly), and the mean bias correction in both monthly mean maximum and minimum SAT using the CRU data.



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