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climateservpy's Issues

Docs Issue with eMODIS NDVI dataset and CHIRPS-GEFS Anamolies

Hello, I'm not sure if this is the best place to post this issue, but there is a small docs issue on the ClimateSERV help center website. Under the "Developers API" heading, it says the availability of the eMODIS NDVI datasets are pentadal, when they are dekadal according to the USGS website. Additionally, when we import the data into Python we can see that they are dekadal (See Attached image).

This issue is present for all of the NDVI datasets on ClimateSERV (Central Asia, Southern Africa, East Africa, West Africa)
ClimateSERV_NDVI_Issue

Additionally, this page claims that the CHIRPS-GEFS Anomalies data ranges from 1981 to present. While this is true for the CHIRPS precipitation data, it is not true for the CHIRPS-GEFS Anomalies data, which seems to begin on 01/01/2001.

[SSL: CERTIFICATE_VERIFY_FAILED]

Hi team! I try to use your API, but its failling i dont know why, could some one help me?

To my co-worker its working fine the same code.

I recieve this error:

New Script Run
About to process scripted job item now.
New Job Submitted to the Server: New JobID: d507ab41-1ccc-49cd-a55a-2cbd4612d5e1
<urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1129)>
get_JobProgressValue_FromResponse: Something went wrong..Generic Catch All Error. 'NoneType' object is not subscriptable
Current Job Progress: -1. JobID: d507ab41-1ccc-49cd-a55a-2cbd4612d5e1
Result of Job Status Cycle: error_generic
Job, d507ab41-1ccc-49cd-a55a-2cbd4612d5e1 is done, did it succeed? : False
ERROR. There was an error with this job.
(The error may have been caused by an error on the server.)
Double check the parameters you set and try again. If the error persists, please contact the ClimateSERV Staff and be sure to send the parameters you used. Thank you!
ERROR. There was an error with this job.
(The error may have been caused by an error on the server.)
Double check the parameters you set and try again. If the error persists, please contact the ClimateSERV Staff and be sure to send the parameters you used. Thank you!

I was thinking ok, it is related with the SSL certificate but then i run this code:

`import requests

def test_ssl_certificates():
"""Test SSL certificates by making an HTTPS request."""
test_url = 'https://www.google.com' # A simple test URL
try:
response = requests.get(test_url)
print(f"Success: Response code {response.status_code}")
except requests.exceptions.SSLError as e:
print(f"SSL Error: {e}")
except Exception as e:
print(f"Error: {e}")

if name == "main":
test_ssl_certificates()`

And i get a: Success: Response code 200. 

Any body know why could be happening? Im using MAC and a python version of 3.9.

Bad Data in CHIRPS-GEFS Anamloy Dataset

Hello, when I attempt to import CHIRPS-GEFS Anamoly dataset (Dataset_Type = 'CHIRPS_GEFS_anom') into Python, I get bad data (-9999.0) for 20 years. October 5, 2020 is the first day that I get usable data. Is this functioning as intended? I've attached a screenshot of my code
ClimateSERV_GEFS_Issue
.

Values of Temperature and Precipitation

I know this is not a bug in your code, but I used these params:

GeometryCoords = [[14.6937, -17.44406]]

DatasetType = 'Seasonal_Forecast'
OperationType = 'Min' #Use download here to download the TIF files
EarliestDate = '01/12/2018'
LatestDate = '01/12/2019'
SeasonalEnsemble = 'ens06'
SeasonalVariable = 'Temperature'
Outfile = 'out.csv'

And the values of temperature are around 287-296. I am not sure why that is happening. Please help.

CHIRPS_GEFS_precip_75 silently failing?

Hello, I am running this code within Google Colab (Python v. 3.7.12) on My Mac (v 12.2.1)

When I attempt to write the CHIRPS_GEFS_Precipitation (75th percentile) data to a CSV file, the script runs without error.

However, the job progress indicator stays stuck at zero. I have tried restarting runtime, and running the code for over 10 minutes, both with no luck. I was able to use the 25th percentile and mean datasets with no issue, and haven't experienced this issue with any other ClimateSERV datasets.

Attached is a screenshot of my code and the aforementioned issue
Screen Shot 2022-02-23 at 4 05 41 PM

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