Github user Omkar20895 commented on the issue:
https://github.com/apache/climate/pull/383
@agoodm yes definitely! As soon as this PR is merged let's open another PR
and work on setting up a conda recipe for podaac. Thanks.
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Github user lewismc commented on a diff in the pull request:
https://github.com/apache/climate/pull/383#discussion_r76080210
--- Diff: examples/podaac_integration_example.py ---
@@ -0,0 +1,75 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contrib
Github user lewismc commented on a diff in the pull request:
https://github.com/apache/climate/pull/383#discussion_r76080544
--- Diff: ocw/tests/test_podaac.py ---
@@ -0,0 +1,67 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license a
Github user lewismc commented on the issue:
https://github.com/apache/climate/pull/383
@Omkar20895 please finish up this implementation as soon as possible. There
is very little to do and the work seems to have stalled for some reason.
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Github user lewismc commented on a diff in the pull request:
https://github.com/apache/climate/pull/383#discussion_r76080409
--- Diff: ocw/dataset_loader.py ---
@@ -24,6 +24,7 @@
import ocw.data_source.esgf as esgf
import ocw.data_source.rcmed as rcmed
import ocw.data
Github user Omkar20895 commented on the issue:
https://github.com/apache/climate/pull/383
@lewismc roger that! I will change them. I haven't worked on this branch
because the podaacpy installation is broken, please look at the latest build on
this branch that has failed(look at the in
Hi Folks,
Kyo Lee and I will be presenting Apache Open Climate Workbench [0] and it's
use in NASA JPL's Regional Climate Modeling and Evaluation System (RCMES)
project [1] at an upcoming ESIP Federationon Interoperability and
Technology/Tech Dive Webinar Series [2]. Details of the event can be foun
Huikyo Lee created CLIMATE-860:
--
Summary: Fix dataset_processor.temporal_subset to remove the
warning message
Key: CLIMATE-860
URL: https://issues.apache.org/jira/browse/CLIMATE-860
Project: Apache Open
Huikyo Lee created CLIMATE-861:
--
Summary: An example to plot aerosol optical depth climatology from
NASA MISR instrument
Key: CLIMATE-861
URL: https://issues.apache.org/jira/browse/CLIMATE-861
Project: A
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https://issues.apache.org/jira/browse/CLIMATE-860?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15435921#comment-15435921
]
ASF GitHub Bot commented on CLIMATE-860:
GitHub user huikyole opened a pull reque
GitHub user huikyole opened a pull request:
https://github.com/apache/climate/pull/398
CLIMATE-860 - Fix dataset_processor.temporal_subset to remove the warning
message
- dataset_processor.temporal_subset has been updated.
You can merge this pull request into a Git repository by ru
Github user OCWJenkins commented on the issue:
https://github.com/apache/climate/pull/398
Merged build triggered. Test Failed.
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ASF GitHub Bot commented on CLIMATE-860:
Github user OCWJenkins commented on the
GitHub user huikyole opened a pull request:
https://github.com/apache/climate/pull/399
CLIMATE-861 - An example to plot aerosol optical depth climatology from
NASA MISR instrument
- A new example, examples/draw_climatology_map_MISR_AOD.py, has been added.
You can merge this pull re
[
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ASF GitHub Bot commented on CLIMATE-861:
GitHub user huikyole opened a pull reque
[
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]
ASF GitHub Bot commented on CLIMATE-861:
Github user OCWJenkins commented on the
Github user OCWJenkins commented on the issue:
https://github.com/apache/climate/pull/399
Merged build triggered. Test Failed.
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Github user coveralls commented on the issue:
https://github.com/apache/climate/pull/398
[](https://coveralls.io/builds/7599493)
Coverage decreased (-0.006%) to 80.265% when pulling
**be1cc1a36a2847595359e14a0a
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ASF GitHub Bot commented on CLIMATE-860:
Github user coveralls commented on the i
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ASF GitHub Bot commented on CLIMATE-861:
Github user coveralls commented on the i
Github user coveralls commented on the issue:
https://github.com/apache/climate/pull/399
[](https://coveralls.io/builds/7599742)
Coverage remained the same at 80.271% when pulling
**992ab591b8be01061340697750bf
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