Runoff from Greenland's Firn Area - Why do MODIS, RCMs and a Firn Model disagree? - Code and Data
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https://zenodo.org/record/13332325
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资源简介:
README – Overview code and data for obtaining MODIS runoff limits and comparison to and between MAR and RACMO / IMAU-FDM
Basic workflow
Table 1 lists the projects, the pieces of code in the projects and the key output of each piece of code. This serves at illustrating the basic workflow. More detailed information on required input is provided below. The README files of the various projects provide details on how to use the code.
Table 1: This table might not display properly, please refer to the file _README_overview.pdf. General project overview. The projects and code are shown in the order they are intended to be used. In italic are parts of code that were not used for Machguth et al. (in review) but instead for Machguth et al. (2022). They might not be fully compatible anymore with runoff limits Yr calculated along flowline-polygons.
Project
Code
Output
flowlines
crop_gdalwarp.py
DEM, cropped and reprojected to required size and grid (identical to the MODIS files)
flowline_seedpoints.py
Seedpoints to calculate flowlines
flowline.py
Flowlines and flowline- polygons
MODIS_Greenland
MODIS_array_filter.py
Daily MODIS grids filtered for outliers
MODIS_stddev_spatial.py
Daily grids of MODIS spatial standard deviation
MODIS_mean_stddev.py
Greenland-wide map of background MODIS spatial standard deviation
MODIS_NDWI_tiff_to_nc.py
MODIS NDWI converted from tiff to netCDF
MODIS_find_slush_limit.py
Table of all detected daily Yr
Greenland_RCM_analysis_prep
modis_vs_mar.py
Tables of daily MAR Yr for all flowline-polygons
modis_vs_racmo.py
Table of daily RACMO Yr for all flowline-polygons
MODIS_Greenland_analysis
MODIS_A_SLmax.py
Calculates annual maxima of the Yr, written into table. Creates plots visualizing MODIS Yr spatial and temporal distribution – only used in Machguth et al. (2022)
MODIS_A_SLanalyis.py
Plots that visualize progression and forcing behind MODIS Yr – only used in Machguth et al. (2022)
MODIS_comp_RCM_maxYs.py
For all of Greenland: Plots that compare RCM and MODIS maxYr
MODIS_comp_RCM_Ys.py
For all of Greenland: Plots that compare RCM and MODIS daily Yr
Greenland_RCM_analysis
RCM_analysis_comp_Ktransect.py
For the K-transect: Plots/tables that compare RACMO/FDM and MAR Yr as well as various RCM parameters
Jupyter notebooks
K-transect_MAR_Greenland-wide_to_K-transect.ipynb
Writes MAR .nc files that contain data only for the K-Transect
K-transect_RACMO-MAR_depth-data-plot.ipynb
For the K-transect: Plots to compare depth information of MAR and RACMO/FDM
Input and output data
Unless mentioned otherwise, all input data required is provided in this repository. Input files for one piece of code are at the same time the output of a piece of code that needs to be run before.
Note 1: due to space constraints only the so called “test” data set for runoff limit detection is provided. The full input data to Greenland-wide runoff limit detection are too large in volume but can be obtained from the authors.
Note 2: While we only provide the test data for the MODIS runoff limit detection, we provide the full output of the Greenland-wide runoff limit detection (these data are small in volume).
Input to flowlines/crop_gdalwarp.py
arcticdem_mosaic_100m_v30_greenland_icesheet_geoidCorr.tif
Input to flowlines/flowline_seedpoints.py
seedline_v2.1.shp
Input to flowlines/flowline.py
è In the case of using the test data, no seed file exists. Do not provide one, seed points will be calculated along a north-south line as specified.
greenland_vel_mosaic200_2015-2018_vx_v02-composite-crop.tif
greenland_vel_mosaic200_2015-2018_vy_v02-composite-crop.tif
dem_test_gapfilled.tif
or for Greenland-wide:
greenland_vel_mosaic500_2015-2018_vx_v02-composite-crop.tif
greenland_vel_mosaic500_2015-2018_vy_v02-composite-crop.tif
arcticdem_mosaic_500m_v30_greenland_icesheet_geoidCorr_GapFilled.tif
seedpoints_v3.4.shp
Input to MODIS_Greenland/MODIS_array_filter.py
/sat_modis_proc_GR_l1test/*
Input to MODIS_Greenland/MODIS_stddev_spatial.py
/sat_modis_proc_test_l2/*
Input to MODIS_Greenland/MODIS_mean_stddev.py
/sat_modis_proc_test_l3/*
dem_test_gapfilled.tif
Input to MODIS_Greenland/ MODIS_NDWI_tiff_to_nc.py
è Input data were computed directly on Google Earth Engine, they have not been preserved, only output data exist
Input to MODIS_Greenland/MODIS_find_slush_limit.py
/sat_modis_proc_test_l3/*
/sat_modis_proc_test_l2_NDWI/*
mask_greenland_icesheet/dem_test_gapfilled.tif
Ys_polygons__test_W20km.shp
flowlines__test_W20km.shp
test_MOD10A1.l3.v4_yrs2000-2021_doy126-136_stddev_median.tif
Input to Greenland_RCM_analysis_prep/modis_vs_mar.py
/flash/tedstona/MARv.HorstRCMStudy_20240624/*
what is the DEM, probably the same as used elsewhere?
flowline Polygons
/flash/tedstona/_list_PolyIDs.xlsx
Why output still to 'MAR-v3.12.1-rlim-slush.nc'? Probably simply not changed without any effect?
Input to Greenland_RCM_analysis_prep/modis_vs_racmo.py
/flash/tedstona/RACMO/1km/runoff/*
arcticdem_mosaic_500m_v30_greenland_icesheet_GeoidCorr_GapFilled_RACMO1km.tif
racmo_polys.nc
Input to MODIS_Greenland_analysis/MODIS_A_SLmax.py
_test_slush-limit_output_table.xlsx
or the Greenland-wide output data:
_GR_slush-limit_output_table.xlsx
Input to MODIS_Greenland_analysis/MODIS_A_SLanalyis.py
KAN_U_hourly_v3_fewer_columns.xlsx
KAN_M_hourly_v3_fewer_columns.xlsx
(selected_SL_years_and_stripes_20km.xlsx: not found and was also only used in Machguth et al., 2022)
__test_table_complete_annual_max_SL.xlsx
__test_slush-limit_output_table_OnlyValidEntries.xlsx
or the Greenland-wide output data:
__GR_table_complete_annual_max_SL.xlsx
__GR_test_slush-limit_output_table_OnlyValidEntries.xlsx
Input to MODIS_Greenland_analysis/MODIS_comp_RCM_maxYs.py
è This file has not been tested whether it also works with the “test” data
RACMO2.3p2_ERA5_3h_FGRN055.1km-rlim-RUa1mm.xlsx
MAR-v.20240624-rlim-RUa1mm.xlsx
_stripes_with_aquifers.xlsx
__test_table_simple_annual_max_SL.xlsx
__test_table_complete_annual_max_SL.xlsx
or the Greenland-wide output data:
__GR_table_simple_annual_max_SL.xlsx
__GR_table_complete_annual_max_SL.xlsx
Input to MODIS_Greenland_analysis/MODIS_comp_RCM_Ys.py
è This file has not been tested whether it also works with the “test” data
__GR_slush-limit_output_table_OnlyValidEntries.xlsx
flowlines_daily_rlims_RACMO_1mmEvents_10mmAnnual_2000_2021.xlsx
flowlines_daily_rlims_MAR-v.20240624_1mmEvents_10mmAnnual_2000_2021.xlsx
Input to Greenland_RCM_analysis/RCM_analysis_comp_Ktransect.py
è Certain data sets (indicated below) are not provided as they would exceed the available space in the repository. They can be obtained at no conditions from the authors
è This file has not been tested whether it would also works with the “test” data
Too large: /FDM_Greenland-wide/*
Too large: /RACMO-FDM_K-Transect_updated/*
Too large: /RACMO_Greenland-wide/*
Too large: /MARv3.14_K-transect_continuous/*
Too large: FGRN055_Masks.nc
__GR_slush-limit_output_table_OnlyValidEntries.xlsx
__GR_table_simple_annual_max_SL.xlsx
__GR_table_complete_annual_max_SL.xlsx
Input to _notebooks\K-transect_MAR_Greenland-wide_to_K-transect.ipynb
Input to _notebooks\K-transect_RACMO-MAR_depth-data-plot.ipynb
Output data
The basic output files of the runoff limit detection for all of Greenland are:
_GR_slush-limit_output_table.xlsx (written by MODIS_Greenland/MODIS_find_slush_limit.py)
__GR_slush-limit_output_table_OnlyValidEntries.xlsx (by MODIS_Greenland_analysis/MODIS_A_SLmax.py)
__GR_table_simple_annual_max_SL.xlsx (by MODIS_Greenland_analysis/MODIS_A_SLmax.py)
__GR_table_complete_annual_max_SL.xlsx (by MODIS_Greenland_analysis/MODIS_A_SLmax.py)
The basic output files of the runoff limit detection for the “test” data set are:
_test_slush-limit_output_table.xlsx (written by MODIS_Greenland/MODIS_find_slush_limit.py)
__test_slush-limit_output_table_OnlyValidEntries.xlsx (by MODIS_Greenland_analysis/MODIS_A_SLmax.py)
__test_table_simple_annual_max_SL.xlsx (by MODIS_Greenland_analysis/MODIS_A_SLmax.py)
__test_table_complete_annual_max_SL.xlsx (by MODIS_Greenland_analysis/MODIS_A_SLmax.py)
创建时间:
2024-09-06



