Data collection of drifting buoys that can provide information on the sea ice type. There are 309 buoys that provide information on the sea ice type at deployment and thus during their entire drift time. There are 1675 buoys that do not provide icetype information when being deployed but which can be used after a sufficient drift period to identify MYI. The data is cleaned from temporal and spatial outliers and jumps. Additionally, OSISAF sea ice concentration (25 km resolution) is used to filter for ice concentrations > 30 %. Therein, a maximum time period of 3 days below the 30 % threhsold is accepted, otherwise timeseries is stopped. The switch date for the ice type is chosen to be October 1st in the Arctic and March 15th in Antarctica. Therein, a minimum lifetime of 5 months is needed for ice to turn into MYI. This is also the dates and period after which buoys that have no ice type information at deployment are considered to indicate MYI. The data is spread over both hemispheres and all seasons within the years 2007 to 2025. -------------------------------------------------------------- Ice type notation in this dataset, combinations are possible for valid values: 0 open water 1 young ice (YI) 2 first-year ice (FYI) 3 second-year ice (SYI) 4 multi-yar ice (MYI) -77 invalid/unknown 23 mixture of FYI and SYI 24 mixture of FYI and MYI 34 mixture of SYI and MYI -------------------------------------------------------------- There are two tables: df_info: comprises 309 rows, each containing characterizing information on the buoys column name explantion ----------------- ----------------- 'buoy_id' IMEI, identifier 'hemisphere' 'N' for Arctic, 'S' for Antarctica 'release_date' date of buoy deployment - not necessarily the same as the first mesaurement time 'type' buoy type, details can be found here: https://spaces.awi.de/spaces/MB/pages/516390626/Buoy+descriptions 'station' expedition name 'ini_ice_type' reported ice type at time of deployment df_data: comprises flattened buoy time series, ice type and additional auxiliary data. The column 'buoy_id' matches the time series data with the characterizing df_info table column name explantion ----------------- ----------------- 'time' time 'buoy_lat' latitude 'buoy_lon' longitude 'ice_type' ice type (FYI, SYI or MYI) 'ice_age_min [months]' minimum ice age estimate 'ice_age_max [months]' maximum ice age estimate 'days_since_deployment' days counted since start measurements ----------------- ----------------- 'OSISAF_sic' OSISAF sea ice concentration along buoy track product has daily temporal resolution and a 25 km grid ----------------- ----------------- ERA5 data along buoy track with hourly time resolution ----------------- ----------------- 'ERA5_t2m [°K]' 2 m air temperatures 'ERA5_skt' skin temperatures 'ERA5_tcwv' total column water vapor 'ERA5_tclw' total column cloud liquid water 'ERA5_tciw' total column cloud ice water ----------------- ----------------- AMSR data along buoy track data for spatially (s_) or temporally (t_) closest point in swath data s_: distance limited to 5 km (only excludes buoy observations at above 89.2 degrees North), time difference limited to +-12 hours t_: distance limited to 50 km, no upper limit for time difference ----------------- ----------------- 's_AMSR_TB6.9V' spatially closest AMSR brightness temperatures at 6.9GHz, vertical polarization 's_AMSR_TB6.9H' spatially closest AMSR brightness temperatures at 6.9GHz, horizontal polarization 's_AMSR_TB10.7V' spatially closest AMSR brightness temperatures at 10.7GHz, vertical polarization 's_AMSR_TB10.7H' spatially closest AMSR brightness temperatures at 10.7GHz, horizontal polarization 's_AMSR_TB18.7V' spatially closest AMSR brightness temperatures at 18.7GHz, vertical polarization 's_AMSR_TB18.7H' spatially closest AMSR brightness temperatures at 18.7GHz, horizontal polarization 's_AMSR_TB23.8V' spatially closest AMSR brightness temperatures at 23.8GHz, vertical polarization 's_AMSR_TB23.8H' spatially closest AMSR brightness temperatures at 23.8GHz, horizontal polarization 's_AMSR_TB36.5V' spatially closest AMSR brightness temperatures at 36.5GHz, vertical polarization 's_AMSR_TB36.5H' spatially closest AMSR brightness temperatures at 36.5GHz, horizontal polarization 's_AMSR_TB89V' spatially closest AMSR brightness temperatures at 89GHz, vertical polarization 's_AMSR_TB89H' spatially closest AMSR brightness temperatures at 89GHz, horizontal polarization 's_AMSR_lat' latitudes of spatially closest AMSR observations 's_AMSR_lon' longitudes of spatially closest AMSR observations 's_AMSR_dist' distances [km] between spatially closest AMSR observations and respective buoy locations 's_AMSR_timediff' time differences between spatially closest AMSR observations and respective buoy locations 's_AMSR_sun_azimuth' sun azimuth angles of spatially closest AMSR observations 's_AMSR_sun_elevation' sun elevation angles of spatially closest AMSR observations 's_AMSR_earth_azimuth' azimuth angles of satellite viewing direction of spatially closest AMSR observations 's_AMSR_earth_incidence' incidence angles of satellite viewing direction of spatially closest AMSR observations 't_AMSR_TB6.9V' temporally closest AMSR brightness temperatures at 6.9GHz, vertical polarization 't_AMSR_TB6.9H' temporally closest AMSR brightness temperatures at 6.9GHz, horizontal polarization 't_AMSR_TB10.7V' temporally closest AMSR brightness temperatures at 10.7GHz, vertical polarization 't_AMSR_TB10.7H' temporally closest AMSR brightness temperatures at 10.7GHz, horizontal polarization 't_AMSR_TB18.7V' temporally closest AMSR brightness temperatures at 18.7GHz, vertical polarization 't_AMSR_TB18.7H' temporally closest AMSR brightness temperatures at 18.7GHz, horizontal polarization 't_AMSR_TB23.8V' temporally closest AMSR brightness temperatures at 23.8GHz, vertical polarization 't_AMSR_TB23.8H' temporally closest AMSR brightness temperatures at 23.8GHz, horizontal polarization 't_AMSR_TB36.5V' temporally closest AMSR brightness temperatures at 36.5GHz, vertical polarization 't_AMSR_TB36.5H' temporally closest AMSR brightness temperatures at 36.5GHz, horizontal polarization 't_AMSR_TB89V' temporally closest AMSR brightness temperatures at 89GHz, vertical polarization 't_AMSR_TB89H' temporally closest AMSR brightness temperatures at 89GHz, horizontal polarization 't_AMSR_lat' latitudes of temporally closest AMSR observations 't_AMSR_lon' longitudes of temporally closest AMSR observations 't_AMSR_dist' distances [km] between temporally closest AMSR observations and respective buoy locations 't_AMSR_timediff' time differences between temporally closest AMSR observations and respective buoy locations 't_AMSR_sun_azimuth' sun azimuth angles of temporally closest AMSR observations 't_AMSR_sun_elevation' sun elevation angles of temporally closest AMSR observations 't_AMSR_earth_azimuth' azimuth angles of satellite viewing direction of temporally closest AMSR observations 't_AMSR_earth_incidence' incidence angles of satellite viewing direction of temporally closest AMSR observations ----------------- ----------------- ASCAT data along buoy track ----------------- ----------------- 'ASCAT_S0' 5.3 GHz VV, incidence-adjusted backscatter at 40 degree incidence angle ----------------- ----------------- sea ice concentration (SIC) and stage of development (SOD) from different icechart providers ----------------- ----------------- data from the Arctic and Antarctic Research Institute downloaded from: http://wdc.aari.ru/datasets/d0015/ 'AARI_SOD_A', 'AARI_SOD_B', 'AARI_SOD_C' stage of development of the first (A), second (B) and third thickest (C) ice 'AARI_SIC_A', 'AARI_SIC_B', 'AARI_SIC_C' partial concentration of the first (A), second (B) and third thickest (C) ice 'AARI_SIC_T' total sea ice concentration data from the Canadian Ice Service downloaded from: https://noaadata.apps.nsidc.org/NOAA/G02171/ 'CIS_SOD_A', 'CIS_SOD_B', 'CIS_SOD_C' stage of development of the first (A), second (B) and third thickest (C) ice 'CIS_SIC_A', 'CIS_SIC_B', 'CIS_SIC_C' partial concentration of the first (A), second (B) and third thickest (C) ice 'CIS_SIC_T' total sea ice concentration data from the Danish Meteorological Institute downloaded from: https://data.marine.copernicus.eu/product/SEAICE_ARC_SEAICE_L4_NRT_OBSERVATIONS_011_002/services 'DMI_SOD_A', 'DMI_SOD_B', 'DMI_SOD_C' stage of development of the first (A), second (B) and third thickest (C) ice 'DMI_SIC_A', 'DMI_SIC_B', 'DMI_SIC_C' partial concentration of the first (A), second (B) and third thickest (C) ice 'DMI_SIC_T' total sea ice concentration data from the National Ice Center downloaded from: https://noaadata.apps.nsidc.org/NOAA/G10013/ 'NIC_SOD_A', 'NIC_SOD_B', 'NIC_SOD_C' stage of development of the first (A), second (B) and third thickest (C) ice 'NIC_SIC_A', 'NIC_SIC_B', 'NIC_SIC_C' partial concentration of the first (A), second (B) and third thickest (C) ice 'NIC_SIC_T' total sea ice concentration automated ice charts from the Danish Meteorological Institute downloaded from: https://data.marine.copernicus.eu/product/SEAICE_ARC_PHY_AUTO_L3_MYNRT_011_023/files 'DMI_auto_SOD' stage of development Below are some code snippets how to survey the data in python. -------------------------------------------------------------- Read the dataset to inspect it as a table: import xarray as xr ds = xr.open_dataset('/path/to/file/RRDP_B_data_v1.0.nc') ds_info = xr.open_dataset('/path/to/file/RRDP_B_info_v1.0.nc') Access data of single buoys, e.g., selected based on the buoy_id: subset = ds.where(ds['buoy_id'] == 300234062784500) Get all buoys that are in the Arctic/Antarctic: subset = ds_info.where(ds_info['hemisphere'] == 'N', drop=True) # for Arctic, switch to 'S' for Antarctic Filter for data in specific year: import datetime year = 2016 # e.g. subset = ds.sel(index=ds['time'].dt.year == year)