This dataset contains output from the TMPA (TRMM Multi-satellite Precipitation) Algorithm, and provides precipitation estimates in the TRMM regions that have the (nearly-zero) bias of the ”TRMM Combined Instrument” precipitation estimate and the dense sampling of high-quality microwave data with fill-in using microwave-calibrated infrared estimates. The granule size is 3 hours. The Tropical Rainfall Measuring Mission (TRMM) was a joint mission between NASA and the Japan Aerospace Exploration (JAXA) Agency to study rainfall for weather and climate research.

Cascade was a NERC funded consortium project to study organized convection in the tropical atmosphere using large domain cloud system resolving model simulations. This datset collection contains measurements from atmospheric model runs of the tropics. Within the Cascade project a version of the Met Office Unified Model (UM) at horizontal resolutions of 1.5km - 40km was used Africa, Indian Ocean and West Pacific Ocean. The horizontal resolution allowed the individual cloud systems to simulate the large-scale organization. The combination of the high resolution and large domains allowed the upscale transports of heat, moisture and momentum and investigated the impact of these transports on the evolution of the synoptic and planetary scale systems. Two domains of interest were chosen to represent continental and oceanic convection respectively. Simulations of the West African Monsoon region were used to understand the range of factors which influence the diurnal cycle of convection over complex topography and to identify the impact of the diurnal cycle and other mesoscale organization on the synoptic organization of convection by African Easterly Waves. Simulations of the Indian Ocean and West Pacific Warm Pool were used to investigate the role of mesoscale and synoptic scale organization on the evolution of the Madden-Julian Oscillation and the influence of the diurnal cycle (e.g. land-sea breeze circulations) on the maintenance of the climate of the Maritime Continent region. In addition, simulations over an idealized ocean surface were used to investigate the organization of convection by equatorially trapped wave modes.

These data are the tropical storm tracks calculated using the "TempestExtremes" storm tracking algorithm. The storm tracks are from experiments run as part of HighResMIP (High Resolution Model Intercomparison Project; Haarsma, R. J. and co-authors) a component of the Coupled Model Intercomparison Project Phase 6 (CMIP6). The raw HighResMIP data are available from the Earth System Grid Federation (ESGF), here the calculated storm tracks are available. The storm tracks are provided as Climate Model Output Rewriter (CMOR)-like NetCDF files with one file per hemisphere for all years in the simulated period of HighResMIP experiments: 1950-2014 - highresSST-present, atmosphere-only; 2015-2050 - highresSST-future experiment, atmosphere-only; 1950-2050 – control-1950, coupled atmosphere-ocean; 1950-2014 – hist-1950, coupled atmosphere-ocean; 2015-2050 – highres-future, coupled atmosphere-ocean using SSP585 scenario. There is one tracked variable in each file with time, latitude and longitude coordinates associated at each six-hour interval. Other variables associated with each track are also provided, e.g. the minimum or maximum value adjacent to the track of the variable of interest and these variables have their own latitude and longitude coordinate variables. If a maximum/minimum value is not found, then a missing data value is used for the respective latitude-longitude values.

This collection of datasets hold the tropical storm tracks derived from the Coupled Model Intercomparison Project Phase 6 (CMIP6) HighResMIP model simulations obtained from the Earth System Grid Federation (ESGF). Different storm tracking algorithms are used to identify the storm tracks including TRACK (Hodges, K., et. al., 2017) and TempestExtremes (Ullrich and Zarzycki, 2017; Zarzycki and Ullrich, 2017).

These data are the tropical storm tracks calculated using the "TRACK" storm tracking algorithm. The storm tracks are from experiments run as part of HighResMIP (High Resolution Model Intercomparison Project; Haarsma, R. J. and co-authors) a component of the Coupled Model Intercomparison Project Phase 6 (CMIP6). The raw HighResMIP data are available from the Earth System Grid Federation (ESGF), here the calculated storm tracks are available. The storm tracks are provided as Climate Model Output Rewriter (CMOR)-like NetCDF files with one file per hemisphere for all years in the simulated period of HighResMIP experiments: 1950-2014 - highresSST-present, atmosphere-only; 2015-2050 - highresSST-future experiment, atmosphere-only; 1950-2050 – control-1950, coupled atmosphere-ocean; 1950-2014 – hist-1950, coupled atmosphere-ocean; 2015-2050 – highres-future, coupled atmosphere-ocean using SSP585 scenario. There is one tracked variable in each file with time, latitude and longitude coordinates associated at each six-hour interval. Other variables associated with each track are also provided, e.g. the minimum or maximum value adjacent to the track of the variable of interest and these variables have their own latitude and longitude coordinate variables. If a maximum/minimum value is not found, then a missing data value is used for the respective latitude-longitude values.

[This dataset is embargoed until April 30, 2026]. The dataset provides image data from a visible light camera positioned on a tower at Bobiri Forest Reserve, Ghana between November 2022 and November 2023. The images are predominately made up of tree canopies (leaves, branches, stems). This site is a moist semi-deciduous tropical forest. The field of view of the camera includes a plot, which was lightly selectively logged over 60 years ago. The trees included in the field of view are of a variety of species including both deciduous and evergreen species. Data were collected to complement additional data on canopy temperature at the same site but can also be used to look at vegetation phenology. Full details about this dataset can be found at https://doi.org/10.5285/f4d2b769-8df8-4fd0-bf75-673926a6977b