Surface level analysis time parameters on a reduced N256 Gaussian grid from the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA-Interim programme. The ERA-Interim global atmospheric reanalysis of the covers 1979 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects This subset of the ERA-Interim dataset contains 37 parameters.

Surface level wave model parameters on a reduced N256 Gaussian grid from the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA-Interim programme. The ERA-Interim global atmospheric reanalysis of the covers 1979 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects This subset of the ERA-Interim dataset contains 29 parameters.

ERA-Interim is the latest European Centre for Medium-Range Weather Forecasts (ECMWF) global atmospheric reanalysis of the period 1979 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects. The dataset includes monthly mean of daily mean surface level data on a reduced N256 Gaussian grid.

Surface level forecast parameters on a reduced N256 Gaussian grid from the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA-Interim programme. The ERA-Interim global atmospheric reanalysis of the covers 1979 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects This subset of the ERA-Interim dataset contains 45 parameters.

This dataset contains results in support of a publication that investigates processes affecting water vapour entry to the stratosphere. The back trajectories were calculated using the OFFLINE trajectory model. Past publications have shown the key processes are temperatures in the tropical tropopause layer and large-scale transport into the stratosphere using trajectory methods. Lagrangian Dry Points (LDPs) are normally calculated as the minimum water vapour saturation mixing ratio experienced along a back-trajectory that has traversed from troposphere to tropical lower stratosphere in its recorded history. This study separated the two key processes by sampling alternative temperatures. These alternative temperatures are either time-shifted or averaged in time or longitude. This method is applied for two meteorological datasets: ERA-Interim (ERA-I) reanalysis for the period 1999-2009, and the UM-UKCA chemistry-climate model for eleven years of a repeat-year-2000 forcing scenario. The ERA-I trajectories were calculated by S Fueglistaler and S Liu for separate publications. The UM-UKCA climate model scenario was conducted by A Maycock. This dataset contains only the LDPs resulting from alternative-temperature sampling. The directory UM-UKCA/LDP-original-T/ provides a simple view of the original unmodified method to calculate LDPs. LDP-alt-T/ directories contain LDPs determined with time-shifted alternative temperature samplings. The time-shift is identified by the alternative initialisation date, denoted in the filename and file metadata. LDP-ave-T/ directories contain LDPs determine with averaged alternative temperature samplings. The averaging is identified by the variable name and metadata. In the variable names, shorthand and full-name identifiers include 6h (6 hourly instantaneous), ZM (zonal mean), 30DZM (30-day rolling window mean and zonal mean), 120DM, 90DM, 60DM, 30DM, 15DM, 14DM, 8DM, 7DM, 4DM, 2DM, 1DM (rolling window 120 day mean, 90 day mean, etc.). Note that various alternative temperatures are recorded at each LDP calculated from each alternative temperature. For more information on the directory structure, file naming conventions, variable naming conventions and attribute conventions please see the README.txt.

ERA-Interim is the latest European Centre for Medium-Range Weather Forecasts (ECMWF) global atmospheric reanalysis of the period 1989 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects. The dataset includes data on surface, PV, potential temperature and pressure surfaces. Model level data available as GRIB formatted data on spectral and reduced Gaussian grids. Monthly mean of daily mean and synoptic monthly mean data are also available as part of this collection. Additional datasets derived from these data are also available.

ERA-Interim is the latest European Centre for Medium-Range Weather Forecasts (ECMWF) global atmospheric reanalysis of the period 1979 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects. The dataset includes synoptic monthly mean analysed potential temperature level data on a reduced N256 Gaussian grid. Data are available at the 00, 06, 12 and 18 UT analysis times.

ERA-Interim is the latest European Centre for Medium-Range Weather Forecasts (ECMWF) global atmospheric reanalysis of the period 1979 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects. The dataset includes synoptic monthly mean accumulated forecast surface level data on a reduced N256 Gaussian grid. Forecast steps are every 3 hours from the 00 and 12 UT analysis times.

ERA-Interim is the latest European Centre for Medium-Range Weather Forecasts (ECMWF) global atmospheric reanalysis of the period 1979 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects. The dataset includes synoptic monthly mean analysed pressure level data on a reduced N256 Gaussian grid. Data are available at the 00, 06, 12 and 18 UT analysis times.

ERA-Interim is the latest European Centre for Medium-Range Weather Forecasts (ECMWF) global atmospheric reanalysis of the period 1979 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects. The dataset includes synoptic monthly mean analysed surace level data on a reduced N256 Gaussian grid. Data are available at the 00, 06, 12 and 18 UT analysis times.