Observational dataset used in "Impact of horizontal resolution on numerical weather predicted sensible heat fluxes in London"

These data are used in Chapter 4, “Impact of horizontal resolution on numerical weather predicted sensible heat fluxes in London” in the University of Reading thesis "Urban surface-atmosphere exchanges: scintillometry observations and NWP evaluation" submitted by Beth Saunders, 2024. The observation dataset consists of a one-day case study (13th May 2016, day-of-year 134). The experimental setup is also described in Saunders et. al 2024: “Methodology to evaluate numerical weather predictions using large aperture scintillometry sensible heat fluxes: demonstration in London”, DOI: https://doi.org/10.1002/qj.4837. File names and subdirectories are named in the format year + day of year (DOY). AWS processed: Processed and quality-control checked data from a Davis Vantage Pro Plus located in the city of London (Saunders et al. 2024). CNR4 processed: Processed and quality-control checked data from a Kipp & Zonen CNR4 radiometer in the city of London (Saunders et al. 2024). LAS raw: Raw data from a single beam Kipp and Zonen MKII LAS (850 nm wavelength) sensor defined as the scintillometer path ‘BCT-IMU’ (Saunders et al. 2024) located between the City of London and Islington. LAS source areas: Source areas for the scintillometer path ‘BCT-IMU’. Data are derived using the methodology as described by Saunders et al. 2024 (see Fig. 2), and were written using the ‘scintools’ python code (10.5281/zenodo.7434074). Digital surface models used for these cases are also included as part of the ‘scintools’ zenodo repository. Source areas for the specific case study day are processed using the python code ‘scint_fp’ (included in 10.5281/zenodo.7434153) using automatic weather station data included here (in the directory AWS processed). csv files included in each subdirectory of ‘LAS_Source_Areas’ are the inputs given to ‘scint_fp’. Source areas are calculated every hour using inputs averaged over the last 10 minutes of that our (time-ending). For example, a 1200 source area is calculated using meteorological conditions averaged over 1150-1200. The end of each file name indicates the time period (time ending) of which the source area applies. LAS processed: Processed data from the scintillometer path ‘BCT-IMU’. Data were derived using the methodology as described by Saunders et al. 2024 (see Fig. 3), and written using the ‘scint_flux’ python code (10.5281/zenodo.7434143) and using scintillometer source areas derived from the ‘scintools’ python code (10.5281/zenodo.7434074). Files ending with PERIOD_VAR_## refer to the averaging period performed on the LAS raw data as number in minutes (where ## is 1, 10, and 60 minutes). Files with a name including ‘sa10min_ending’ use source areas calculated every hour with input meteorological conditions averaged over 10 minutes.