Refactor 654 zonal mean xy #752

chengzhuzhang · 2023-10-27T20:03:39Z

Description

Closes CDAT Migration Phase 2: Refactor zonal_mean_xy set #654 to refactor zonal mean xy to use xcdat/xarray

Checklist

My code follows the style guidelines of this project
I have performed a self-review of my own code
My changes generate no new warnings: there is warning from xgcm
Any dependent changes have been merged and published in downstream modules

If applicable:

New and existing unit tests pass with my changes (locally and CI/CD build)
I have added tests that prove my fix is effective or that my feature works
I have commented my code, particularly in hard-to-understand areas
I have made corresponding changes to the documentation
I have noted that this is a breaking change for a major release (fix or feature that would cause existing functionality to not work as expected)

chengzhuzhang · 2023-11-09T20:55:46Z

The components to refactor include the driver and the plotter.
File 1, zonal_mean_xy_driver.py

refactor regrid_to_lower_res_1d function that regrids 1-D transient variable toward lower resolution of two variables . Question can I reuse or extend align_grids_to_lower_res.

File 2, zonal_mean_xy_plot.py

use xarray object instead of cdms transient variable. No major function to refactor.

chengzhuzhang · 2023-12-02T00:24:23Z

With the new commit 341ac3c, there are two problems:

an error:

 2023-12-01 16:17:54,212 [ERROR]: core_parameter.py(_run_diag:326) >> Error in e3sm_diags.driver.zonal_mean_xy_driver
Traceback (most recent call last):
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/e3sm_diags/parameter/core_parameter.py", line 323, in _run_diag
    single_result = module.run_diag(self)
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/e3sm_diags/driver/zonal_mean_xy_driver.py", line 88, in run_diag
    _run_diags_3d(
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/e3sm_diags/driver/zonal_mean_xy_driver.py", line 200, in _run_diags_3d
    ds_test_rg = regrid_z_axis_to_plevs(ds_test, var_key, parameter.plevs)
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/e3sm_diags/driver/utils/regrid.py", line 384, in regrid_z_axis_to_plevs
    ds_plevs = _hybrid_to_plevs(ds, var_key, plevs)
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/e3sm_diags/driver/utils/regrid.py", line 443, in _hybrid_to_plevs
    result = ds.regridder.vertical(
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xcdat/regridder/accessor.py", line 392, in vertical
    input_grid = _get_input_grid(
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xcdat/regridder/accessor.py", line 445, in _get_input_grid
    grid = input_grid.regridder.grid
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xcdat/regridder/accessor.py", line 91, in grid
    data, bnds = self._get_axis_data(axis)
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xcdat/regridder/accessor.py", line 111, in _get_axis_data
    _validate_grid_has_single_axis_dim(name, coord_var)
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xcdat/regridder/grid.py", line 744, in _validate_grid_has_single_axis_dim
    raise ValueError(
ValueError: Multiple 'X' axis dims were found in this dataset, ['lon', 'slon']. Please drop the unused dimension(s) before performing grid operations.

pre-commiting hooks isort and black conflicts. And updating .pre-committing yaml didn't help.

tomvothecoder

Hey @chengzhuzhang, I addressed your recent issues in this comment.

I also rebased this branch on the latest version of cdat-migration-fy24, which I squashed down into less commits. If you have any un-committed changes, can you stash then, check out the latest version of this branch, then pop them back on top? Thanks

e3sm_diags/driver/zonal_mean_xy_driver.py

chengzhuzhang · 2023-12-04T20:09:06Z

@tomvothecoder thank you for fixing this branch!

For the excessive slat, slon, it turned out to be they are included in the model climatology files, the relevant texts in the header as shown below:

        double slat(slat) ;
                slat:long_name = "Latitude for staggered FV grid" ;
                slat:units = "degrees_north" ;
        double w_stag(slat) ;
                w_stag:long_name = "Latitude weights for staggered FV grid" ;
        double slon(slon) ;
                slon:long_name = "Longitude for staggered FV grid" ;
                slon:units = "degrees_east" ;

I think I will try dropping the slat and slon dims, as a workaround for now.

chengzhuzhang · 2023-12-04T20:28:05Z

Hey @chengzhuzhang, I addressed your recent issues in this comment.

I also rebased this branch on the latest version of cdat-migration-fy24, which I squashed down into less commits. If you have any un-committed changes, can you stash then, check out the latest version of this branch, then pop them back on top? Thanks

yep, I have checked out the latest version. Thanks for the heads-up!

tomvothecoder

Just some updates to your test script to pass diags.cfg using sys.argv.extend. This allows you to perform Python debugging with parameters defined in diags.cfg.

examples/test_refactor/ex5.py

chengzhuzhang · 2023-12-12T01:13:45Z

@tomvothecoder I made plotting work, but will try consolidate the codes a little better.
But it seems my pre-commit isort still has errorsthat I can't sort out..

chengzhuzhang · 2023-12-12T23:18:26Z

Other than mypy complaints. There are still several problems causing some variables fails to generate plots. The log for a full run.
The result can be found here

tomvothecoder · 2024-01-05T19:41:52Z

Other than mypy complaints. There are still several problems causing some variables fails to generate plots. The log for a full run. The result can be found here

I listed the errors from the log below:

Issue 1

  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/e3sm_diags/driver/zonal_mean_xy_driver.py", line 322, in regrid_to_lower_res_1d
    if len(ds_test_1d.lat) > len(ds_ref_1d.lat):
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xarray/core/common.py", line 278, in __getattr__
    raise AttributeError(
AttributeError: 'DataArray' object has no attribute 'lat'

The name of the latitude coordinates is not lat on the DataArray. You should use xc.get_dim_keys(DataArray, axis="Y") to get the name dynamically.

Issue 2

packages/e3sm_diags/plot/zonal_mean_xy_plot.py:115: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi)

The warning message is self-explanatory.

Issue 3

  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/e3sm_diags/plot/zonal_mean_xy_plot.py", line 130, in plot
    ax1.set_ylabel(da_test.long_name + " (" + da_test.units + ")")
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xarray/core/common.py", line 278, in __getattr__
    raise AttributeError(
AttributeError: 'DataArray' object has no attribute 'long_name'

The long_name attribute looks like it is dropped at some point. Maybe when calculating zonal mean?

Issue 4

Traceback (most recent call last):
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xarray/coding/times.py", line 213, in _decode_cf_datetime_dtype
    result = decode_cf_datetime(example_value, units, calendar, use_cftime)
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xarray/coding/times.py", line 321, in decode_cf_datetime
    dates = _decode_datetime_with_cftime(
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xarray/coding/times.py", line 237, in _decode_datetime_with_cftime
    cftime.num2date(num_dates, units, calendar, only_use_cftime_datetimes=True)
  File "src/cftime/_cftime.pyx", line 580, in cftime._cftime.num2date
  File "src/cftime/_cftime.pyx", line 98, in cftime._cftime._dateparse
ValueError: 'months since' units only allowed for '360_day' calendar

Self-explanatory. The cftime library can't decode "months since" units with other calendar types. xc.open_dataset()/xc.open_mf_dataset() can decode non-CF time units. If one of these functions is used, maybe remove use_cftime=True to avoid using Xarray's cftime decoder.

Issue 5

Traceback (most recent call last):
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xarray/conventions.py", line 432, in decode_cf_variables
    new_vars[k] = decode_cf_variable(
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xarray/conventions.py", line 283, in decode_cf_variable
    var = times.CFDatetimeCoder(use_cftime=use_cftime).decode(var, name=name)
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xarray/coding/times.py", line 832, in decode
    dtype = _decode_cf_datetime_dtype(data, units, calendar, self.use_cftime)
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xarray/coding/times.py", line 223, in _decode_cf_datetime_dtype
    raise ValueError(msg)
ValueError: unable to decode time units 'months since 1983-06' with 'the default calendar'. Try opening your dataset with decode_times=False or installing cftime if it is not installed.

Self-explanatory. The cftime library can't decode months since" units with other calendar types. xc.open_dataset()/xc.open_mf_dataset()can decode non-CF time units. If one of these functions is used, maybe removeuse_cftime=Trueto avoid using Xarray'scftime` decoder.

Issue 6

 File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/e3sm_diags/driver/utils/dataset_xr.py", line 254, in _get_global_attr_from_climo_dataset
    ds = xr.open_dataset(filepath)
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xarray/backends/api.py", line 572, in open_dataset
    backend_ds = backend.open_dataset(
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xarray/backends/netCDF4_.py", line 607, in open_dataset
    ds = store_entrypoint.open_dataset(
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xarray/backends/store.py", line 58, in open_dataset
    ds = Dataset(vars, attrs=attrs)
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xarray/core/dataset.py", line 697, in __init__
    variables, coord_names, dims, indexes, _ = merge_data_and_coords(
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xarray/core/dataset.py", line 426, in merge_data_and_coords
    return merge_core(
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xarray/core/merge.py", line 724, in merge_core
    dims = calculate_dimensions(variables)
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xarray/core/variable.py", line 3007, in calculate_dimensions
    raise ValueError(
ValueError: dimension 'time' already exists as a scalar variable

Not 100% what is happening here when you open up the dataset.

Issue 7

  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/e3sm_diags/derivations/utils.py", line 175, in cosp_bin_sum
    prs: FileAxis = cld.getAxis(0)
  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/xarray/core/common.py", line 278, in __getattr__
    raise AttributeError(
AttributeError: 'DataArray' object has no attribute 'getAxis'

The cosp_bin_sum() and cosp_histogram_standardize() functions are refactored to use Xarray/xCDAT in this PR: https://github.com/E3SM-Project/e3sm_diags/pull/748/files#diff-2fd1bd98452189f43f530975ba12afc289337494f779cb5a2f97144d30820f22
We need to merge this PR first before this issue can be fixed.

Issue 8

  File "/global/cfs/cdirs/e3sm/zhang40/conda_envs/e3sm_diags_dev_654_zonal_mean_xy/lib/python3.10/site-packages/e3sm_diags/derivations/formulas.py", line 81, in pminuse_convert_units
    var.attrs["units"] == "kg/m2/s"
KeyError: 'units'

The units attribute looks like it is dropped at some point. Maybe when calculating zonal mean?

tomvothecoder

Hi @chengzhuzhang, I did some code clean up code and fixed the mypy warnings (which were all definitely useful).

e3sm_diags/driver/utils/io.py

e3sm_diags/driver/zonal_mean_xy_driver.py

e3sm_diags/plot/zonal_mean_xy_plot.py

tomvothecoder · 2024-02-15T17:21:12Z

I followed the suggested change pointed out by #752 (comment). It fixed the CI/CD, but with remaining issues from regression tests, summarized here.
1. A different set of 21 variables are not created: `FLUT`, `FLUTC`, `SOLIN`, `FLDS`, `FLNS`, `FLNSC`, `FSDS`, `FLDSC`, `FSNS`, `FSNSC`,`ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP`, `ISCCPCOSP-CLDTOT_TAU1.3_ISCCP`, `MODISCOSP-CLDHGH/TOT_TAU1.3_9.4_MODIS`, `MODISCOSP-CLDHGH/TOT_TAU1.3_MODIS`, `ERA5-TMQ`, `MERRA2-TMQ`

2. Variables diff between refactored vs main:
   [645_unmatched.txt](https://github.com/E3SM-Project/e3sm_diags/files/14289669/645_unmatched.txt)
@tomvothecoder I'm documenting the remaining issues. I think these will recur in lat_lon and polar testing. We can merge this branch for now and try to fix in another PR. Could you please help merging?

Got it, we can transfer these to another GitHub issue.

tomvothecoder · 2024-02-15T17:23:14Z

Actually, I'll take a brief look at these issues and try to debug while I'm at it.

chengzhuzhang · 2024-02-15T18:32:52Z

Actually, I'll take a brief look at these issues and try to debug while I'm at it.

Thank you!

- Add new parameters for cfg_path and multiprocessing

- Needed to sort the `prs_range` and `tau_range` in ascending order before creating `cond` to pass to `.where()`, otherwise if out of order then there is a possibility that the condition will fail entirely

tomvothecoder

I resolved issue 1 your comment here with two separate fixes (mentioned in my review comments)

Here's my debugging notebook now showing Number of files missing: 0

I will merge this PR once the build passes. We can investigate issue 2 in a separate PR.

tomvothecoder · 2024-02-15T22:07:28Z

e3sm_diags/driver/utils/dataset_xr.py

+        matching_target_var_map = self._get_matching_climo_src_vars(ds, target_var_map)

-        # NOTE: Since there's only one set of vars, we get the first and only set
-        # of vars from the derived variable dictionary.
-        # 1. Get the derivation function.
-        derivation_func = list(matching_target_var_map.values())[0]
+        if matching_target_var_map is not None:
+            # NOTE: Since there's only one set of vars, we get the first and only set
+            # of vars from the derived variable dictionary.
+            # 1. Get the derivation function.
+            derivation_func = list(matching_target_var_map.values())[0]

-        # 2. Get the derivation function arguments using source variable keys.
-        # Example: [xr.DataArray(name="PRECC",...), xr.DataArray(name="PRECL",...)]
-        src_var_keys = list(matching_target_var_map.keys())[0]
+            # 2. Get the derivation function arguments using source variable keys.
+            # Example: [xr.DataArray(name="PRECC",...), xr.DataArray(name="PRECL",...)]
+            src_var_keys = list(matching_target_var_map.keys())[0]

-        # 3. Use the derivation function to derive the variable.
-        ds_final = self._get_dataset_with_derivation_func(
-            ds, derivation_func, src_var_keys, target_var
-        )
+            # 3. Use the derivation function to derive the variable.
+            ds_derived = self._get_dataset_with_derivation_func(
+                ds, derivation_func, src_var_keys, target_var
+            )

-        return ds_final
+            return ds_derived
+
+        # None of the entries in the derived variables dictionary worked,
+        # so try to get the variable directly from he dataset.
+        if target_var in ds.data_vars.keys():
+            return ds
+
+        raise IOError(
+            f"The dataset file has no matching source variables for {target_var}"
+        )


RE: Issue 1 in #752 (comment)

This fixes the missing outputs for the following variables: FLUT, FLUTC, SOLIN, FLDS, FLNS, FLNSC, FSDS, FLDSC, FSNS, FSNSC, ERA5-TMQ, MERRA2-TMQ

The issue was that I did not include a conditional to try to return the variable directly from the climatology dataset if it cannot be derived (lines 661-664)

tomvothecoder · 2024-02-15T22:29:23Z

e3sm_diags/derivations/formulas_cosp.py

+    # 5. Get the axes mask conditional and subset the variable on it.
    cond = (
        (prs >= prs_range[0])
        & (prs <= prs_range[-1])
        & (tau >= tau_range[0])
        & (tau <= tau_range[-1])
    )
+
    var_sub = var.where(cond, drop=True)

-    # 5. Sum on axis=0 and axis=1 (tau and prs)
+    # 7. Sum on axis=0 and axis=1 (tau and prs)
    var_sum = var_sub.sum(dim=[prs.name, tau.name])


RE: Issue 1 in #752 (comment)

The changes in cosp_bin_sum() now fix the missing outputs for the remaining variables: ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP, ISCCPCOSP-CLDTOT_TAU1.3_ISCCP, MODISCOSP-CLDHGH/TOT_TAU1.3_9.4_MODIS, MODISCOSP-CLDHGH/TOT_TAU1.3_MODIS

Root Cause

The prs_range can be in descending order (e.g., (90000.0, 9000.0))

This caused the condition (cond) to not match any of the data values when subsetting with .where()

The condition being used is >=90000.0 and <=9000.0 which is incorrect

The correct condition should to be the other way around, >= 9000 and <= 90000

Since there are no matching values, the below numpy error is thrown with drop=True (drop all nan values that don't match):

ValueError: Cannot apply_along_axis when any iteration dimensions are 0

Solution

Sort prs_range and tau_range before subsetting

Side-note

The CDMS2 version of sub-setting a variable is pretty confusing. Notice below how prs_low and prs_high are used to subset, but prs_low is actually the larger value with my example, (90000.0, 9000.0)

I think CDMS2 swaps both values around and subsets to include all values within the range. It uses the correct sub-setting condition, >= 9000 and <= 90000.

e3sm_diags/e3sm_diags/derivations/acme.py

Lines 488 to 490 in 434ab8c

if cld.id == "FISCCP1_COSP": # ISCCP model

cld_bin = cld(cosp_prs=(prs_low, prs_high), cosp_tau=(tau_low, tau_high))

simulator = "ISCCP"

e3sm_diags/metrics/metrics.py

chengzhuzhang · 2024-02-15T22:57:20Z

@tomvothecoder Thank you for the perseverance to fix the derived variable logic and those COSP variable calculation!! The PR is in a much better shape after the fix!

Co-authored-by: Tom Vo <[email protected]>

tomvothecoder changed the base branch from main to cdat-migration-fy24 October 30, 2023 21:46

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forsyth2 mentioned this pull request Dec 18, 2023

CDAT Migration: Refactor polar set #749

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Diff of zonal mean xy refactoring forsyth2/e3sm_diags#4

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tomvothecoder added this to the FY24 Q2 (01/01/24 - 03/31/24) milestone Jan 8, 2024

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Refactor zonal_mean_xy set

46a10ed

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tomvothecoder added 8 commits February 15, 2024 13:19

Update template_run_script.py and base_run_script.py

db652ac

- Add new parameters for cfg_path and multiprocessing

Fix _get_dataset_with_derived_climo_var() not returning vars directly

d91fb53

Add debug scripts and notebook

ecacd2e

Fix cosp_bin_sum() condition for subsetting

546c76e

- Needed to sort the `prs_range` and `tau_range` in ascending order before creating `cond` to pass to `.where()`, otherwise if out of order then there is a possibility that the condition will fail entirely

Update notebook

3749b2e

Fix test incorrect args for spatial_avg

d110348

Update env instruction in notebook

b6485ec

Move test_refactor dir

d49d92e

tomvothecoder approved these changes Feb 15, 2024

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tomvothecoder added 2 commits February 15, 2024 14:43

Update e3sm_diags/metrics/metrics.py

51ccccb

Fix tests

27dc5da

Fix pre-commit issue

0227cd8

tomvothecoder merged commit fd38d72 into cdat-migration-fy24 Feb 15, 2024
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tomvothecoder deleted the refactor/654-zonal_mean_xy branch February 15, 2024 23:24

This was referenced Feb 15, 2024

[Bug]: CDAT Migration - Fix large relative diff and x and y nan location mismatch for some variables in zonal_mean_xy set #790

Closed

[PR]: CDAT Migration: Refactor aerosol_aeronet set #788

Merged

tomvothecoder mentioned this pull request May 1, 2024

[Bug]: Incorrect reference_name for "GPCP_v3.2" in zonal_mean_xy_model_vs_obs.cfg #810

Closed

tomvothecoder added a commit that referenced this pull request May 1, 2024

Refactor 654 zonal mean xy (#752)

dd55526

Co-authored-by: Tom Vo <[email protected]>

tomvothecoder added a commit that referenced this pull request Jul 15, 2024

Refactor 654 zonal mean xy (#752)

55d4b5a

Co-authored-by: Tom Vo <[email protected]>

tomvothecoder added a commit that referenced this pull request Jul 15, 2024

Refactor 654 zonal mean xy (#752)

c873f1e

Co-authored-by: Tom Vo <[email protected]>

tomvothecoder added a commit that referenced this pull request Aug 21, 2024

Refactor 654 zonal mean xy (#752)

d1a6acd

Co-authored-by: Tom Vo <[email protected]>

tomvothecoder added a commit that referenced this pull request Aug 21, 2024

Refactor 654 zonal mean xy (#752)

4efe291

Co-authored-by: Tom Vo <[email protected]>

tomvothecoder added a commit that referenced this pull request Oct 1, 2024

Refactor 654 zonal mean xy (#752)

5644ff0

Co-authored-by: Tom Vo <[email protected]>

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Refactor 654 zonal mean xy #752

Refactor 654 zonal mean xy #752

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	if cld.id == "FISCCP1_COSP": # ISCCP model
	cld_bin = cld(cosp_prs=(prs_low, prs_high), cosp_tau=(tau_low, tau_high))
	simulator = "ISCCP"

Refactor 654 zonal mean xy #752

Refactor 654 zonal mean xy #752

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Issue 1

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Issue 3

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