This dataset compromises chlorophyll data, which was collected using a Special Products Analysis Division (SPAD) 502 chorophyll meter, as part of the Network for Calibration and Validation of EO data 2006 Field Campaign. The estimates of chlorophyll amount were taken for the spring barley crop in Brockley field, near Chilbolton, this having been the only available field without seed heads and subsequently appropriate for measurements to be taken from. The numerical SPAD value is proportional to the amount of chlorophyll within the leaf, but a calibration equation for Spring Barley is required to convert these values into chlorophyll concentration. Each SPAD value in the file is an average of 10 values which were measured within 10 metres of the flag.

"Improving our ability to predict rapid changes in the El Nino Southern Oscillation climatic phenomenon" project, which was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Round 1 - NER/T/S/2002/00443 - Duration 1 Jan 2004 - 30 Sep 2007) led by Prof Alexander Tudhope of the University of Edinburgh, with co-investigators at the Scottish Universities Environment Research Centre, Bigelow Laboratory for Ocean Sciences, and the University of Reading. This dataset collection contains meteorology and ocean model outputs from the Hadley Centre Coupled Model, version 3 (HadCM3) model. The objective was to use a combination of palaeoclimate reconstruction from annually-banded corals and the fully coupled HadCM3 atmosphere-ocean general circulation model to develop an understanding of the controls on variability in the strength and frequency of ENSO, and to improve our ability to predict the likelihood of future rapid changes in this important element of the climate system. To achieve this, we targeted three periods:0-2.5 ka: Representative of near-modern climate forcing; revealing the internal variability in the system.6-9 ka: a period of weak or absent ENSO, and different orbital forcing; a test of the model's ability to capture externally-forced change in ENSO.200-2100 AD: by using the palaeo periods to test and optimise model parameterisation, produce a new, improved, prediction of ENSO variability in a warming world. Rapid Climate Change (RAPID) was a £20 million, six-year (2001-2007) programme for the Natural Environment Research Council. The programme aimed to improve the ability to quantify the probability and magnitude of future rapid change in climate, with a main (but not exclusive) focus on the role of the Atlantic Ocean's Thermohaline Circulation.

The data were collected by radiosonde at Reading by Convective Storm Initiation Project (CSIP) participants at the University of Reading between the 16th of June 2005 and the 25th of August 2005. Data include measurements of air temperature, relative humidity, wind speed and direction, and air pressure.

A Hemispherical Camera (Nikon Coolpix 995) was used to take photographs at sites Harewood Forest, Rickyard and Fairpiece, Chilbolton, as part of the Network for Calibration and Validation in Earth Observation 2006 Field Campaign. This dataset consists of the 18 photos taken at Fairpiece field on the 16th June 2006, most of which are upward-looking.

The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.

An atmospheric water vapour profile was recorded using a UV Raman LiDAR located at Chilbolton Facility for Atmospheric and Radio Research (CFARR), during the Network for Calibration and Validation of EO data (NCAVEO) 2006 Experiment. The profile was recorded on 16th June 2006, one day before the ‘golden day’. The ground-based Raman LiDAR system at the CFARR transmits a high power Nd:YAG pulse laser beam vertically into the atmosphere at 355 nm wavelength. The LiDAR measures both elastic backscattering and water vapour profiles in the troposphere. Inelastic scattering of the laser radiation by molecules in the atmosphere, termed Raman scattering, is used to determine the atmospheric water vapour and temperature profiles. This dataset contains data for the raw (20s/7.5m) and processed (5min/22.5m) data in separate files. For further information on the parameters used during the data collection and the data's file format please see the dataset's metadata document in linked documentation.

The Radio Acoustic Sounding System (RASS) messages data describe hourly observations from around 120 stations distributed globally. The observations, which are later transmitted in reports, give measurements of parameters such as wind speed, and temperature. The data are collected by observation stations worldwide and transmitted within the RASS message. Data are extracted daily at around 00 UT from the Met Office's MetDB system for the previous day's coverage. The dataset contains measurements of the following parameters: - Station height (in m) - Virtual temperature (in Kelvin) - Wind w velocity component (in m/s) - Signal to noise ratio See linked documentation for general information about surface station readings can be obtained from the abridged version of "MIDAS Data Users Guide", provided by the Met Office. This document describes the meteorological surface data in the Met Office Database - MIDAS. This guide is rich in information and is aimed at those with little familiarity with observing methods or instrumentation. Details of the WMO Meteorological codes used at weather observing stations (daily and hourly weather) explain the codes used in this dataset further are also linked to on this record.

Cascade was a NERC funded consortium project to study organized convection and scale interactions in the tropical atmosphere using large domain cloud system resolving model simulations. This dataset contains data from the xeule simulation which ran using the Met Office Unified Model (UM) at 40km horizontal resolution over an idealised equatorial domain of about 8000x4000km. Cascade Idealised simulations are used to study warm pool convection and equatorial waves.

"To what extent was the Little Ice Age a result of a change in the thermohaline circulation?" project. This was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Joint International Round - NE/C509507/1 - Duration 1 Aug 2005 - 31 Jul 2008) led by Dr Tim Osborn of the University of East Anglia, with co-investigators at the University of East Anglia and Royal Netherlands Meteorology Institute. The dataset contains positive North Atlantic Oscillation model output from the HadCM3 model.

The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.