From 04c93cf7082e46dcc6e0ace9e74e6441272afc66 Mon Sep 17 00:00:00 2001 From: Lukas Pilz Date: Mon, 31 Oct 2022 18:09:28 +0100 Subject: [PATCH 1/8] Initial commit --- w2w/w2w.py | 89 +++++++++++++++++++++++++++++++++++++++--------------- 1 file changed, 64 insertions(+), 25 deletions(-) diff --git a/w2w/w2w.py b/w2w/w2w.py index 0c6176d..d21e30e 100644 --- a/w2w/w2w.py +++ b/w2w/w2w.py @@ -47,7 +47,7 @@ def main(argv: Optional[Sequence[str]] = None) -> int: parser = argparse.ArgumentParser( description='PURPOSE: Add LCZ-based info to WRF geo_em.dXX.nc\n \n' 'OUTPUT:\n' - '- *_NoUrban.nc: MODIS Urban replaced by surrounding natural LC\n' + '- *_NoUrban.nc: Urban replaced by surrounding natural LC\n' '- *_LCZ_extent.nc: LCZ urban extent implemented, no LCZ UCPs yet\n' '- *_LCZ_params.nc: LCZ urban extent + UPC parameter values\n' '- *_dXX_41.nc: Parent domain files reflecting 41 Land categories', @@ -166,7 +166,7 @@ def main(argv: Optional[Sequence[str]] = None) -> int: ) print( - f'{FBOLD}--> Replace WRF MODIS urban LC with ' f'surrounding natural LC{FEND}' + f'{FBOLD}--> Replace WRF urban LC with ' f'surrounding natural LC{FEND}' ) wrf_remove_urban( @@ -431,7 +431,7 @@ def wrf_remove_urban( NPIX_AREA: int, ) -> None: - '''Remove MODIS urban extent from geo_em*.nc file''' + '''Remove urban extent from geo_em*.nc file''' # Make a copy of original dst file dst_data = xr.open_dataset(info.dst_file) @@ -443,6 +443,7 @@ def wrf_remove_urban( lat = dst_data.XLAT_M.squeeze() lon = dst_data.XLONG_M.squeeze() orig_num_land_cat = dst_data.NUM_LAND_CAT + urb_cat = 13 if orig_num_land_cat < 24 else 1 # New arrays to hold data without urban areas newluse = luse.values.copy() @@ -461,14 +462,30 @@ def wrf_remove_urban( ENDC = '\033[0m' luf_2D = luf.values.reshape(luf.shape[0], -1) - if orig_num_land_cat > 20: # USING MODIS_LAKE + if orig_num_land_cat == 21: # USING MODIS_LAKE data_coord['luf_natland'] = list( (luf_2D[12, :] == 0) & (luf_2D[16, :] == 0) & (luf_2D[20, :] == 0) ) data_coord['luf_urb'] = list((luf_2D[12, :] != 0)) - else: # USING MODIS (NO LAKES) + elif orig_num_land_cat == 20: # USING MODIS (NO LAKES) data_coord['luf_natland'] = list((luf_2D[12, :] == 0) & (luf_2D[16, :] == 0)) data_coord['luf_urb'] = list((luf_2D[12, :] != 0)) + elif orig_num_land_cat == 28: # USING USGS + data_coord['luf_natland'] = list( + (luf_2D[0, :] == 0) & (luf_2D[15, :] == 0) & (luf_2D[18, :] == 0) & (luf_2D[27, :] == 0) + ) + data_coord['luf_urb'] = list((luf_2D[0, :] != 0)) + elif orig_num_land_cat == 24: # USING USGS (NO LAKES) + data_coord['luf_natland'] = list( + (luf_2D[0, :] == 0) & (luf_2D[15, :] == 0) & (luf_2D[18, :] == 0) + ) + data_coord['luf_urb'] = list((luf_2D[0, :] != 0)) + else: + raise NotImplementedError( + f'{ERROR}ERROR: Your data has a number of landuse classes ({orig_num_land_cat}),\n' + f'which has not been implemented{ENDC}' + ) + if NPIX_AREA == None: NPIX_AREA = NPIX_NLC**2 if NPIX_AREA > luse.size: @@ -481,10 +498,16 @@ def wrf_remove_urban( ikd = using_kdtree(data_coord, min(luse.size, NPIX_AREA)) - data_coord['luse_urb'] = data_coord.luse == 13 - data_coord['luse_natland'] = ( - (data_coord.luse != 13) & (data_coord.luse != 17) & (data_coord.luse != 21) - ) + if orig_num_land_cat == 20 or orig_num_land_cat == 21: # MODIS + data_coord['luse_urb'] = data_coord.luse == urb_cat + data_coord['luse_natland'] = ( + (data_coord.luse != urb_cat) & (data_coord.luse != 17) & (data_coord.luse != 21) + ) + elif orig_num_land_cat == 28 or orig_num_land_cat == 24: # USGS + data_coord['luse_urb'] = data_coord.luse == urb_cat + data_coord['luse_natland'] = ( + (data_coord.luse != urb_cat) & (data_coord.luse != 16) & (data_coord.luse != 19) & (data_coord.luse != 28) + ) # Replacing urban pixels with surrounding dominant natural land use category data_urb = data_coord.where(data_coord.luse_urb).dropna() @@ -525,9 +548,9 @@ def wrf_remove_urban( for iurb_luf in data_luf.index: i, j = np.unravel_index(iurb_luf, luse.shape) newluf[int(data_luf.loc[iurb_luf]['newluse']) - 1, i, j] += luf.isel( - south_north=i, west_east=j, land_cat=12 + south_north=i, west_east=j, land_cat=urb_cat-1 ).values - newluf[12, i, j] = 0.0 + newluf[urb_cat-1, i, j] = 0.0 dst_data.LU_INDEX.values[0, :] = newluse[:] dst_data.LANDUSEF.values[0, :] = newluf[:] @@ -1072,12 +1095,13 @@ def _adjust_greenfrac_landusef( dst_data_orig = xr.open_dataset(info.dst_file) orig_num_land_cat = dst_data_orig.NUM_LAND_CAT + urb_cat = 13 if orig_num_land_cat < 24 else 1 # Adjust GREENFRAC and LANDUSEF # GREENFRAC is set as average / month from GREENFRAC - # of original MODIS urban pixels + # of original urban pixels wrf_urb = xr.DataArray( - np.in1d(dst_data_orig['LU_INDEX'][0, :, :].values, [13]).reshape( + np.in1d(dst_data_orig['LU_INDEX'][0, :, :].values, [urb_cat]).reshape( dst_data_orig['LU_INDEX'][0, :, :].shape ), dims=dst_data_orig['LU_INDEX'][0, :, :].dims, @@ -1126,7 +1150,14 @@ def _adjust_greenfrac_landusef( ) dst_data['LANDUSEF'] = dst_data.LANDUSEF.astype('float32') - luf_attrs['description'] = 'Noah-modified 41-category IGBP-MODIS landuse' + if orig_num_land_cat < 24: + luf_attrs['description'] = ( + 'Noah-modified 41-category ' 'IGBP-MODIS landuse' + ) + else: + luf_attrs['description'] = ( + 'modified 41-category USGS landuse' + ) for key in luf_attrs.keys(): dst_data['LANDUSEF'].attrs[key] = luf_attrs[key] @@ -1157,7 +1188,7 @@ def _add_frc_lu_index_2_wrf( FRC_THRESHOLD=FRC_THRESHOLD, ) - # Add to geo_em* that that has no MODIS urban + # Add to geo_em* that that has no urban dst_data = xr.open_dataset(info.dst_nu_file) # Make a FRC_URB field and store aggregated data. @@ -1339,10 +1370,11 @@ def create_lcz_extent_file(info: Info) -> None: dst_data_orig = xr.open_dataset(info.dst_file) orig_num_land_cat = dst_data_orig.NUM_LAND_CAT + urb_cat = 13 if orig_num_land_cat < 24 else 1 orig_luf_description = dst_data_orig.LANDUSEF.description lu_index = dst_extent.LU_INDEX.values - lu_index[lu_index >= 31] = 13 + lu_index[lu_index >= 31] = urb_cat dst_extent.LU_INDEX.values = lu_index @@ -1359,7 +1391,7 @@ def create_lcz_extent_file(info: Info) -> None: ('Time', 'land_cat', 'south_north', 'west_east'), luf_values[:, :orig_num_land_cat, :, :], ) - dst_extent['LANDUSEF'].values[0, 12, frc_mask] = 1 + dst_extent['LANDUSEF'].values[0, urb_cat-1, frc_mask] = 1 dst_extent['LANDUSEF'] = dst_extent.LANDUSEF.astype('float32') luf_attrs['description'] = orig_luf_description @@ -1417,9 +1449,14 @@ def expand_land_cat_parents(info: Info) -> None: ) da['LANDUSEF'] = da.LANDUSEF.astype('float32') - luf_attrs['description'] = ( - 'Noah-modified 41-category ' 'IGBP-MODIS landuse' - ) + if orig_num_land_cat < 24: + luf_attrs['description'] = ( + 'Noah-modified 41-category ' 'IGBP-MODIS landuse' + ) + else: + luf_attrs['description'] = ( + 'modified 41-category USGS landuse' + ) for key in luf_attrs.keys(): da['LANDUSEF'].attrs[key] = luf_attrs[key] @@ -1456,7 +1493,9 @@ def checks_and_cleaning(info: Info, ucp_table: pd.DataFrame, nbui_max: float) -> ) ifile = info.dst_nu_file da = xr.open_dataset(ifile) - if 13 in da.LU_INDEX.values: + orig_num_land_cat = xr.open_dataset(info.dst_file).NUM_LAND_CAT + urb_cat = 13 if orig_num_land_cat < 24 else 1 + if urb_cat in da.LU_INDEX.values: print( f'{base_text}\n{WARNING} WARNING: Urban land use ' f'still present {ENDC}' ) @@ -1469,7 +1508,7 @@ def checks_and_cleaning(info: Info, ucp_table: pd.DataFrame, nbui_max: float) -> ) ifile = info.dst_lcz_extent_file da = xr.open_dataset(ifile) - if not 13 in da.LU_INDEX.values: + if not urb_cat in da.LU_INDEX.values: print( f'{base_text}\n{WARNING} WARNING: LCZ-based urban ' f'extent missing {ENDC}' ) @@ -1482,10 +1521,10 @@ def checks_and_cleaning(info: Info, ucp_table: pd.DataFrame, nbui_max: float) -> ) ifile = info.dst_lcz_params_file da = xr.open_dataset(ifile) - if 13 in da.LU_INDEX.values: + if urb_cat in da.LU_INDEX.values: print( f'{base_text}\n{WARNING} WARNING: Urban extent still ' - f'defined via LU_INDEX = 13? {ENDC}' + f'defined via LU_INDEX = {urb_cat}? {ENDC}' ) else: LU_values = np.unique(da.LU_INDEX.values.flatten()) @@ -1625,7 +1664,7 @@ def _check_range(darr: NDArray[np.float_], exp_range: List[int]) -> int: ) da_e = xr.open_dataset(info.dst_lcz_extent_file) da_p = xr.open_dataset(info.dst_lcz_params_file) - da_e_res = xr.where(da_e.LU_INDEX == 13, 1, 0) + da_e_res = xr.where(da_e.LU_INDEX == urb_cat, 1, 0) da_p_res = xr.where(da_p.LU_INDEX >= 31, 1, 0) if int((da_p_res - da_e_res).sum()) != 0: From d1e8f3adf77c98c4ceb789a6f0665427eb4ebba9 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Mon, 31 Oct 2022 19:49:10 +0000 Subject: [PATCH 2/8] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- w2w/w2w.py | 46 +++++++++++++++++++++++----------------------- 1 file changed, 23 insertions(+), 23 deletions(-) diff --git a/w2w/w2w.py b/w2w/w2w.py index d21e30e..7689368 100644 --- a/w2w/w2w.py +++ b/w2w/w2w.py @@ -165,9 +165,7 @@ def main(argv: Optional[Sequence[str]] = None) -> int: LCZ_BAND=LCZ_BAND, ) - print( - f'{FBOLD}--> Replace WRF urban LC with ' f'surrounding natural LC{FEND}' - ) + print(f'{FBOLD}--> Replace WRF urban LC with ' f'surrounding natural LC{FEND}') wrf_remove_urban( info=info, @@ -472,7 +470,10 @@ def wrf_remove_urban( data_coord['luf_urb'] = list((luf_2D[12, :] != 0)) elif orig_num_land_cat == 28: # USING USGS data_coord['luf_natland'] = list( - (luf_2D[0, :] == 0) & (luf_2D[15, :] == 0) & (luf_2D[18, :] == 0) & (luf_2D[27, :] == 0) + (luf_2D[0, :] == 0) + & (luf_2D[15, :] == 0) + & (luf_2D[18, :] == 0) + & (luf_2D[27, :] == 0) ) data_coord['luf_urb'] = list((luf_2D[0, :] != 0)) elif orig_num_land_cat == 24: # USING USGS (NO LAKES) @@ -482,9 +483,9 @@ def wrf_remove_urban( data_coord['luf_urb'] = list((luf_2D[0, :] != 0)) else: raise NotImplementedError( - f'{ERROR}ERROR: Your data has a number of landuse classes ({orig_num_land_cat}),\n' - f'which has not been implemented{ENDC}' - ) + f'{ERROR}ERROR: Your data has a number of landuse classes ({orig_num_land_cat}),\n' + f'which has not been implemented{ENDC}' + ) if NPIX_AREA == None: NPIX_AREA = NPIX_NLC**2 @@ -498,15 +499,20 @@ def wrf_remove_urban( ikd = using_kdtree(data_coord, min(luse.size, NPIX_AREA)) - if orig_num_land_cat == 20 or orig_num_land_cat == 21: # MODIS + if orig_num_land_cat == 20 or orig_num_land_cat == 21: # MODIS data_coord['luse_urb'] = data_coord.luse == urb_cat data_coord['luse_natland'] = ( - (data_coord.luse != urb_cat) & (data_coord.luse != 17) & (data_coord.luse != 21) + (data_coord.luse != urb_cat) + & (data_coord.luse != 17) + & (data_coord.luse != 21) ) - elif orig_num_land_cat == 28 or orig_num_land_cat == 24: # USGS + elif orig_num_land_cat == 28 or orig_num_land_cat == 24: # USGS data_coord['luse_urb'] = data_coord.luse == urb_cat data_coord['luse_natland'] = ( - (data_coord.luse != urb_cat) & (data_coord.luse != 16) & (data_coord.luse != 19) & (data_coord.luse != 28) + (data_coord.luse != urb_cat) + & (data_coord.luse != 16) + & (data_coord.luse != 19) + & (data_coord.luse != 28) ) # Replacing urban pixels with surrounding dominant natural land use category @@ -548,9 +554,9 @@ def wrf_remove_urban( for iurb_luf in data_luf.index: i, j = np.unravel_index(iurb_luf, luse.shape) newluf[int(data_luf.loc[iurb_luf]['newluse']) - 1, i, j] += luf.isel( - south_north=i, west_east=j, land_cat=urb_cat-1 + south_north=i, west_east=j, land_cat=urb_cat - 1 ).values - newluf[urb_cat-1, i, j] = 0.0 + newluf[urb_cat - 1, i, j] = 0.0 dst_data.LU_INDEX.values[0, :] = newluse[:] dst_data.LANDUSEF.values[0, :] = newluf[:] @@ -1151,13 +1157,9 @@ def _adjust_greenfrac_landusef( dst_data['LANDUSEF'] = dst_data.LANDUSEF.astype('float32') if orig_num_land_cat < 24: - luf_attrs['description'] = ( - 'Noah-modified 41-category ' 'IGBP-MODIS landuse' - ) + luf_attrs['description'] = 'Noah-modified 41-category ' 'IGBP-MODIS landuse' else: - luf_attrs['description'] = ( - 'modified 41-category USGS landuse' - ) + luf_attrs['description'] = 'modified 41-category USGS landuse' for key in luf_attrs.keys(): dst_data['LANDUSEF'].attrs[key] = luf_attrs[key] @@ -1391,7 +1393,7 @@ def create_lcz_extent_file(info: Info) -> None: ('Time', 'land_cat', 'south_north', 'west_east'), luf_values[:, :orig_num_land_cat, :, :], ) - dst_extent['LANDUSEF'].values[0, urb_cat-1, frc_mask] = 1 + dst_extent['LANDUSEF'].values[0, urb_cat - 1, frc_mask] = 1 dst_extent['LANDUSEF'] = dst_extent.LANDUSEF.astype('float32') luf_attrs['description'] = orig_luf_description @@ -1454,9 +1456,7 @@ def expand_land_cat_parents(info: Info) -> None: 'Noah-modified 41-category ' 'IGBP-MODIS landuse' ) else: - luf_attrs['description'] = ( - 'modified 41-category USGS landuse' - ) + luf_attrs['description'] = 'modified 41-category USGS landuse' for key in luf_attrs.keys(): da['LANDUSEF'].attrs[key] = luf_attrs[key] From 9e5e63d9bdc74f27d797f15622986dd61f263959 Mon Sep 17 00:00:00 2001 From: Lukas Pilz Date: Tue, 1 Nov 2022 18:47:11 +0100 Subject: [PATCH 3/8] Fixed tests --- w2w/w2w.py | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/w2w/w2w.py b/w2w/w2w.py index 7689368..77e5d8d 100644 --- a/w2w/w2w.py +++ b/w2w/w2w.py @@ -441,7 +441,7 @@ def wrf_remove_urban( lat = dst_data.XLAT_M.squeeze() lon = dst_data.XLONG_M.squeeze() orig_num_land_cat = dst_data.NUM_LAND_CAT - urb_cat = 13 if orig_num_land_cat < 24 else 1 + urb_cat = 13 if orig_num_land_cat < 22 or orig_num_land_cat == 41 else 1 # New arrays to hold data without urban areas newluse = luse.values.copy() @@ -460,7 +460,7 @@ def wrf_remove_urban( ENDC = '\033[0m' luf_2D = luf.values.reshape(luf.shape[0], -1) - if orig_num_land_cat == 21: # USING MODIS_LAKE + if orig_num_land_cat == 21 or orig_num_land_cat == 41: # USING MODIS_LAKE data_coord['luf_natland'] = list( (luf_2D[12, :] == 0) & (luf_2D[16, :] == 0) & (luf_2D[20, :] == 0) ) @@ -499,7 +499,9 @@ def wrf_remove_urban( ikd = using_kdtree(data_coord, min(luse.size, NPIX_AREA)) - if orig_num_land_cat == 20 or orig_num_land_cat == 21: # MODIS + if ( + orig_num_land_cat == 20 or orig_num_land_cat == 21 or orig_num_land_cat == 41 + ): # MODIS data_coord['luse_urb'] = data_coord.luse == urb_cat data_coord['luse_natland'] = ( (data_coord.luse != urb_cat) @@ -1101,7 +1103,7 @@ def _adjust_greenfrac_landusef( dst_data_orig = xr.open_dataset(info.dst_file) orig_num_land_cat = dst_data_orig.NUM_LAND_CAT - urb_cat = 13 if orig_num_land_cat < 24 else 1 + urb_cat = 13 if orig_num_land_cat < 22 or orig_num_land_cat == 41 else 1 # Adjust GREENFRAC and LANDUSEF # GREENFRAC is set as average / month from GREENFRAC @@ -1372,7 +1374,7 @@ def create_lcz_extent_file(info: Info) -> None: dst_data_orig = xr.open_dataset(info.dst_file) orig_num_land_cat = dst_data_orig.NUM_LAND_CAT - urb_cat = 13 if orig_num_land_cat < 24 else 1 + urb_cat = 13 if orig_num_land_cat < 22 or orig_num_land_cat == 41 else 1 orig_luf_description = dst_data_orig.LANDUSEF.description lu_index = dst_extent.LU_INDEX.values @@ -1494,7 +1496,7 @@ def checks_and_cleaning(info: Info, ucp_table: pd.DataFrame, nbui_max: float) -> ifile = info.dst_nu_file da = xr.open_dataset(ifile) orig_num_land_cat = xr.open_dataset(info.dst_file).NUM_LAND_CAT - urb_cat = 13 if orig_num_land_cat < 24 else 1 + urb_cat = 13 if orig_num_land_cat < 22 or orig_num_land_cat == 41 else 1 if urb_cat in da.LU_INDEX.values: print( f'{base_text}\n{WARNING} WARNING: Urban land use ' f'still present {ENDC}' From 5b42bfee9b259ecaef09cf6136fba23ca7bd6f14 Mon Sep 17 00:00:00 2001 From: Lukas Pilz Date: Wed, 2 Nov 2022 22:37:26 +0100 Subject: [PATCH 4/8] Better discernment between USGS and MODIS --- w2w/w2w.py | 93 +++++++++++++++++++++--------------------------------- 1 file changed, 36 insertions(+), 57 deletions(-) diff --git a/w2w/w2w.py b/w2w/w2w.py index 77e5d8d..c37e230 100644 --- a/w2w/w2w.py +++ b/w2w/w2w.py @@ -441,7 +441,13 @@ def wrf_remove_urban( lat = dst_data.XLAT_M.squeeze() lon = dst_data.XLONG_M.squeeze() orig_num_land_cat = dst_data.NUM_LAND_CAT - urb_cat = 13 if orig_num_land_cat < 22 or orig_num_land_cat == 41 else 1 + is_urban = dst_data.ISURBAN + is_water = dst_data.ISWATER + is_lake = ( + dst_data.ISLAKE + if hasattr(dst_data, 'ISLAKE') and dst_data.ISLAKE < orig_num_land_cat + else None + ) # New arrays to hold data without urban areas newluse = luse.values.copy() @@ -460,32 +466,14 @@ def wrf_remove_urban( ENDC = '\033[0m' luf_2D = luf.values.reshape(luf.shape[0], -1) - if orig_num_land_cat == 21 or orig_num_land_cat == 41: # USING MODIS_LAKE - data_coord['luf_natland'] = list( - (luf_2D[12, :] == 0) & (luf_2D[16, :] == 0) & (luf_2D[20, :] == 0) - ) - data_coord['luf_urb'] = list((luf_2D[12, :] != 0)) - elif orig_num_land_cat == 20: # USING MODIS (NO LAKES) - data_coord['luf_natland'] = list((luf_2D[12, :] == 0) & (luf_2D[16, :] == 0)) - data_coord['luf_urb'] = list((luf_2D[12, :] != 0)) - elif orig_num_land_cat == 28: # USING USGS - data_coord['luf_natland'] = list( - (luf_2D[0, :] == 0) - & (luf_2D[15, :] == 0) - & (luf_2D[18, :] == 0) - & (luf_2D[27, :] == 0) - ) - data_coord['luf_urb'] = list((luf_2D[0, :] != 0)) - elif orig_num_land_cat == 24: # USING USGS (NO LAKES) - data_coord['luf_natland'] = list( - (luf_2D[0, :] == 0) & (luf_2D[15, :] == 0) & (luf_2D[18, :] == 0) - ) - data_coord['luf_urb'] = list((luf_2D[0, :] != 0)) - else: - raise NotImplementedError( - f'{ERROR}ERROR: Your data has a number of landuse classes ({orig_num_land_cat}),\n' - f'which has not been implemented{ENDC}' + data_coord['luf_natland'] = list( + (luf_2D[is_urban - 1, :] == 0) & (luf_2D[is_water - 1, :] == 0) + ) + if is_lake is not None: + data_coord['luf_natland'] = data_coord['luf_natland'] & ( + luf_2D[is_lake - 1, :] == 0 ) + data_coord['luf_urb'] = list((luf_2D[is_urban - 1, :] != 0)) if NPIX_AREA == None: NPIX_AREA = NPIX_NLC**2 @@ -499,24 +487,14 @@ def wrf_remove_urban( ikd = using_kdtree(data_coord, min(luse.size, NPIX_AREA)) - if ( - orig_num_land_cat == 20 or orig_num_land_cat == 21 or orig_num_land_cat == 41 - ): # MODIS - data_coord['luse_urb'] = data_coord.luse == urb_cat - data_coord['luse_natland'] = ( - (data_coord.luse != urb_cat) - & (data_coord.luse != 17) - & (data_coord.luse != 21) - ) - elif orig_num_land_cat == 28 or orig_num_land_cat == 24: # USGS - data_coord['luse_urb'] = data_coord.luse == urb_cat - data_coord['luse_natland'] = ( - (data_coord.luse != urb_cat) - & (data_coord.luse != 16) - & (data_coord.luse != 19) - & (data_coord.luse != 28) + data_coord['luse_urb'] = data_coord.luse == is_urban + data_coord['luse_natland'] = (data_coord.luse != is_urban) & ( + data_coord.luse != is_water + ) + if is_lake is not None: + data_coord['luse_natland'] = data_coord['luse_natland'] & ( + data_coord.luse != is_lake ) - # Replacing urban pixels with surrounding dominant natural land use category data_urb = data_coord.where(data_coord.luse_urb).dropna() @@ -556,9 +534,9 @@ def wrf_remove_urban( for iurb_luf in data_luf.index: i, j = np.unravel_index(iurb_luf, luse.shape) newluf[int(data_luf.loc[iurb_luf]['newluse']) - 1, i, j] += luf.isel( - south_north=i, west_east=j, land_cat=urb_cat - 1 + south_north=i, west_east=j, land_cat=is_urban - 1 ).values - newluf[urb_cat - 1, i, j] = 0.0 + newluf[is_urban - 1, i, j] = 0.0 dst_data.LU_INDEX.values[0, :] = newluse[:] dst_data.LANDUSEF.values[0, :] = newluf[:] @@ -1103,13 +1081,13 @@ def _adjust_greenfrac_landusef( dst_data_orig = xr.open_dataset(info.dst_file) orig_num_land_cat = dst_data_orig.NUM_LAND_CAT - urb_cat = 13 if orig_num_land_cat < 22 or orig_num_land_cat == 41 else 1 + is_urban = dst_data_orig.ISURBAN # Adjust GREENFRAC and LANDUSEF # GREENFRAC is set as average / month from GREENFRAC # of original urban pixels wrf_urb = xr.DataArray( - np.in1d(dst_data_orig['LU_INDEX'][0, :, :].values, [urb_cat]).reshape( + np.in1d(dst_data_orig['LU_INDEX'][0, :, :].values, [is_urban]).reshape( dst_data_orig['LU_INDEX'][0, :, :].shape ), dims=dst_data_orig['LU_INDEX'][0, :, :].dims, @@ -1374,11 +1352,11 @@ def create_lcz_extent_file(info: Info) -> None: dst_data_orig = xr.open_dataset(info.dst_file) orig_num_land_cat = dst_data_orig.NUM_LAND_CAT - urb_cat = 13 if orig_num_land_cat < 22 or orig_num_land_cat == 41 else 1 + is_urban = dst_data_orig.ISURBAN orig_luf_description = dst_data_orig.LANDUSEF.description lu_index = dst_extent.LU_INDEX.values - lu_index[lu_index >= 31] = urb_cat + lu_index[lu_index >= 31] = is_urban dst_extent.LU_INDEX.values = lu_index @@ -1395,7 +1373,7 @@ def create_lcz_extent_file(info: Info) -> None: ('Time', 'land_cat', 'south_north', 'west_east'), luf_values[:, :orig_num_land_cat, :, :], ) - dst_extent['LANDUSEF'].values[0, urb_cat - 1, frc_mask] = 1 + dst_extent['LANDUSEF'].values[0, is_urban - 1, frc_mask] = 1 dst_extent['LANDUSEF'] = dst_extent.LANDUSEF.astype('float32') luf_attrs['description'] = orig_luf_description @@ -1495,9 +1473,10 @@ def checks_and_cleaning(info: Info, ucp_table: pd.DataFrame, nbui_max: float) -> ) ifile = info.dst_nu_file da = xr.open_dataset(ifile) - orig_num_land_cat = xr.open_dataset(info.dst_file).NUM_LAND_CAT - urb_cat = 13 if orig_num_land_cat < 22 or orig_num_land_cat == 41 else 1 - if urb_cat in da.LU_INDEX.values: + dst_data_orig = xr.open_dataset(info.dst_file) + orig_num_land_cat = dst_data_orig.NUM_LAND_CAT + is_urban = dst_data_orig.ISURBAN + if is_urban in da.LU_INDEX.values: print( f'{base_text}\n{WARNING} WARNING: Urban land use ' f'still present {ENDC}' ) @@ -1510,7 +1489,7 @@ def checks_and_cleaning(info: Info, ucp_table: pd.DataFrame, nbui_max: float) -> ) ifile = info.dst_lcz_extent_file da = xr.open_dataset(ifile) - if not urb_cat in da.LU_INDEX.values: + if not is_urban in da.LU_INDEX.values: print( f'{base_text}\n{WARNING} WARNING: LCZ-based urban ' f'extent missing {ENDC}' ) @@ -1523,10 +1502,10 @@ def checks_and_cleaning(info: Info, ucp_table: pd.DataFrame, nbui_max: float) -> ) ifile = info.dst_lcz_params_file da = xr.open_dataset(ifile) - if urb_cat in da.LU_INDEX.values: + if is_urban in da.LU_INDEX.values: print( f'{base_text}\n{WARNING} WARNING: Urban extent still ' - f'defined via LU_INDEX = {urb_cat}? {ENDC}' + f'defined via LU_INDEX = {is_urban}? {ENDC}' ) else: LU_values = np.unique(da.LU_INDEX.values.flatten()) @@ -1666,7 +1645,7 @@ def _check_range(darr: NDArray[np.float_], exp_range: List[int]) -> int: ) da_e = xr.open_dataset(info.dst_lcz_extent_file) da_p = xr.open_dataset(info.dst_lcz_params_file) - da_e_res = xr.where(da_e.LU_INDEX == urb_cat, 1, 0) + da_e_res = xr.where(da_e.LU_INDEX == is_urban, 1, 0) da_p_res = xr.where(da_p.LU_INDEX >= 31, 1, 0) if int((da_p_res - da_e_res).sum()) != 0: From 502c31443344596199574e7c8b08f5abd256f5a2 Mon Sep 17 00:00:00 2001 From: Lukas Pilz Date: Wed, 2 Nov 2022 16:08:26 -0600 Subject: [PATCH 5/8] Apply suggestions from code review MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: Daniel Argüeso --- w2w/w2w.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/w2w/w2w.py b/w2w/w2w.py index c37e230..0e44a5a 100644 --- a/w2w/w2w.py +++ b/w2w/w2w.py @@ -445,7 +445,7 @@ def wrf_remove_urban( is_water = dst_data.ISWATER is_lake = ( dst_data.ISLAKE - if hasattr(dst_data, 'ISLAKE') and dst_data.ISLAKE < orig_num_land_cat + if hasattr(dst_data, 'ISLAKE') and 0 < dst_data.ISLAKE < orig_num_land_cat else None ) From 0e756009199ee5dd87136ac85e4550e4c37d7b07 Mon Sep 17 00:00:00 2001 From: Lukas Pilz Date: Wed, 16 Nov 2022 17:58:25 +0100 Subject: [PATCH 6/8] Changed confusing naming of is_urban, is_water, is_lake variables --- w2w/w2w.py | 50 +++++++++++++++++++++++++------------------------- 1 file changed, 25 insertions(+), 25 deletions(-) diff --git a/w2w/w2w.py b/w2w/w2w.py index 0e44a5a..8945146 100644 --- a/w2w/w2w.py +++ b/w2w/w2w.py @@ -441,9 +441,9 @@ def wrf_remove_urban( lat = dst_data.XLAT_M.squeeze() lon = dst_data.XLONG_M.squeeze() orig_num_land_cat = dst_data.NUM_LAND_CAT - is_urban = dst_data.ISURBAN - is_water = dst_data.ISWATER - is_lake = ( + urban_cat = dst_data.ISURBAN + water_cat = dst_data.ISWATER + lake_cat = ( dst_data.ISLAKE if hasattr(dst_data, 'ISLAKE') and 0 < dst_data.ISLAKE < orig_num_land_cat else None @@ -467,13 +467,13 @@ def wrf_remove_urban( luf_2D = luf.values.reshape(luf.shape[0], -1) data_coord['luf_natland'] = list( - (luf_2D[is_urban - 1, :] == 0) & (luf_2D[is_water - 1, :] == 0) + (luf_2D[urban_cat - 1, :] == 0) & (luf_2D[water_cat - 1, :] == 0) ) - if is_lake is not None: + if lake_cat is not None: data_coord['luf_natland'] = data_coord['luf_natland'] & ( - luf_2D[is_lake - 1, :] == 0 + luf_2D[lake_cat - 1, :] == 0 ) - data_coord['luf_urb'] = list((luf_2D[is_urban - 1, :] != 0)) + data_coord['luf_urb'] = list((luf_2D[urban_cat - 1, :] != 0)) if NPIX_AREA == None: NPIX_AREA = NPIX_NLC**2 @@ -487,13 +487,13 @@ def wrf_remove_urban( ikd = using_kdtree(data_coord, min(luse.size, NPIX_AREA)) - data_coord['luse_urb'] = data_coord.luse == is_urban - data_coord['luse_natland'] = (data_coord.luse != is_urban) & ( - data_coord.luse != is_water + data_coord['luse_urb'] = data_coord.luse == urban_cat + data_coord['luse_natland'] = (data_coord.luse != urban_cat) & ( + data_coord.luse != water_cat ) - if is_lake is not None: + if lake_cat is not None: data_coord['luse_natland'] = data_coord['luse_natland'] & ( - data_coord.luse != is_lake + data_coord.luse != lake_cat ) # Replacing urban pixels with surrounding dominant natural land use category data_urb = data_coord.where(data_coord.luse_urb).dropna() @@ -534,9 +534,9 @@ def wrf_remove_urban( for iurb_luf in data_luf.index: i, j = np.unravel_index(iurb_luf, luse.shape) newluf[int(data_luf.loc[iurb_luf]['newluse']) - 1, i, j] += luf.isel( - south_north=i, west_east=j, land_cat=is_urban - 1 + south_north=i, west_east=j, land_cat=urban_cat - 1 ).values - newluf[is_urban - 1, i, j] = 0.0 + newluf[urban_cat - 1, i, j] = 0.0 dst_data.LU_INDEX.values[0, :] = newluse[:] dst_data.LANDUSEF.values[0, :] = newluf[:] @@ -1081,13 +1081,13 @@ def _adjust_greenfrac_landusef( dst_data_orig = xr.open_dataset(info.dst_file) orig_num_land_cat = dst_data_orig.NUM_LAND_CAT - is_urban = dst_data_orig.ISURBAN + urban_cat = dst_data_orig.ISURBAN # Adjust GREENFRAC and LANDUSEF # GREENFRAC is set as average / month from GREENFRAC # of original urban pixels wrf_urb = xr.DataArray( - np.in1d(dst_data_orig['LU_INDEX'][0, :, :].values, [is_urban]).reshape( + np.in1d(dst_data_orig['LU_INDEX'][0, :, :].values, [urban_cat]).reshape( dst_data_orig['LU_INDEX'][0, :, :].shape ), dims=dst_data_orig['LU_INDEX'][0, :, :].dims, @@ -1352,11 +1352,11 @@ def create_lcz_extent_file(info: Info) -> None: dst_data_orig = xr.open_dataset(info.dst_file) orig_num_land_cat = dst_data_orig.NUM_LAND_CAT - is_urban = dst_data_orig.ISURBAN + urban_cat = dst_data_orig.ISURBAN orig_luf_description = dst_data_orig.LANDUSEF.description lu_index = dst_extent.LU_INDEX.values - lu_index[lu_index >= 31] = is_urban + lu_index[lu_index >= 31] = urban_cat dst_extent.LU_INDEX.values = lu_index @@ -1373,7 +1373,7 @@ def create_lcz_extent_file(info: Info) -> None: ('Time', 'land_cat', 'south_north', 'west_east'), luf_values[:, :orig_num_land_cat, :, :], ) - dst_extent['LANDUSEF'].values[0, is_urban - 1, frc_mask] = 1 + dst_extent['LANDUSEF'].values[0, urban_cat - 1, frc_mask] = 1 dst_extent['LANDUSEF'] = dst_extent.LANDUSEF.astype('float32') luf_attrs['description'] = orig_luf_description @@ -1475,8 +1475,8 @@ def checks_and_cleaning(info: Info, ucp_table: pd.DataFrame, nbui_max: float) -> da = xr.open_dataset(ifile) dst_data_orig = xr.open_dataset(info.dst_file) orig_num_land_cat = dst_data_orig.NUM_LAND_CAT - is_urban = dst_data_orig.ISURBAN - if is_urban in da.LU_INDEX.values: + urban_cat = dst_data_orig.ISURBAN + if urban_cat in da.LU_INDEX.values: print( f'{base_text}\n{WARNING} WARNING: Urban land use ' f'still present {ENDC}' ) @@ -1489,7 +1489,7 @@ def checks_and_cleaning(info: Info, ucp_table: pd.DataFrame, nbui_max: float) -> ) ifile = info.dst_lcz_extent_file da = xr.open_dataset(ifile) - if not is_urban in da.LU_INDEX.values: + if not urban_cat in da.LU_INDEX.values: print( f'{base_text}\n{WARNING} WARNING: LCZ-based urban ' f'extent missing {ENDC}' ) @@ -1502,10 +1502,10 @@ def checks_and_cleaning(info: Info, ucp_table: pd.DataFrame, nbui_max: float) -> ) ifile = info.dst_lcz_params_file da = xr.open_dataset(ifile) - if is_urban in da.LU_INDEX.values: + if urban_cat in da.LU_INDEX.values: print( f'{base_text}\n{WARNING} WARNING: Urban extent still ' - f'defined via LU_INDEX = {is_urban}? {ENDC}' + f'defined via LU_INDEX = {urban_cat}? {ENDC}' ) else: LU_values = np.unique(da.LU_INDEX.values.flatten()) @@ -1645,7 +1645,7 @@ def _check_range(darr: NDArray[np.float_], exp_range: List[int]) -> int: ) da_e = xr.open_dataset(info.dst_lcz_extent_file) da_p = xr.open_dataset(info.dst_lcz_params_file) - da_e_res = xr.where(da_e.LU_INDEX == is_urban, 1, 0) + da_e_res = xr.where(da_e.LU_INDEX == urban_cat, 1, 0) da_p_res = xr.where(da_p.LU_INDEX >= 31, 1, 0) if int((da_p_res - da_e_res).sum()) != 0: From 5cc43e15c9b93df237c48f79229dcdd5b7ed5df5 Mon Sep 17 00:00:00 2001 From: Lukas Pilz Date: Fri, 30 Dec 2022 01:38:37 +0100 Subject: [PATCH 7/8] Added test for USGS urbcat removal --- testing/5by5_usgs.nc | Bin 0 -> 490532 bytes tests/w2w_test.py | 57 ++++++++++++++++++++++++++----------------- 2 files changed, 34 insertions(+), 23 deletions(-) create mode 100644 testing/5by5_usgs.nc diff --git a/testing/5by5_usgs.nc b/testing/5by5_usgs.nc new file mode 100644 index 0000000000000000000000000000000000000000..08e49f506575582d19febf15554cc8316bcef04e GIT binary patch literal 490532 zcmeEv2|Sg{|NnCwB1_t>At{w5ijXb)l6{wKA!J`7yAraLN+^{UZI&o15`{vWR>=|( 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file changed, 10 insertions(+), 2 deletions(-) diff --git a/tests/w2w_test.py b/tests/w2w_test.py index 2c9f6ea..b0b6d8b 100644 --- a/tests/w2w_test.py +++ b/tests/w2w_test.py @@ -363,9 +363,17 @@ def test_wrf_remove_urban( assert compare.sum() == len(urb_locs['south_north'][1]) # check the values were changed at those coords assert compare.sel(urb_locs).all() - urb_locs.update(land_cat=('urban', [ds.ISURBAN - 1] * 3)) + urb_landusef = old_ds.LANDUSEF.sel(land_cat=ds.ISURBAN - 1).stack( + urban=['south_north', 'west_east'] + ) + urb_nonzero = urb_landusef.where(urb_landusef > 0, drop=True) # check the values were changed at those coords - assert (old_ds.LANDUSEF.sel(urb_locs) != ds.LANDUSEF.sel(urb_locs)).all() + nonzero_loc = { + 'south_north': ('urban_nz', urb_nonzero.south_north.values), + 'west_east': ('urban_nz', urb_nonzero.west_east.values), + 'land_cat': ds.ISURBAN - 1, + } + assert (old_ds.LANDUSEF.sel(nonzero_loc) != ds.LANDUSEF.sel(nonzero_loc)).all() def test_wrf_remove_urban_output_already_exists_is_overwritten(tmpdir, info_mock):