fusedio · fused-io · Mar 19, 2025
diff --git a/public/Bcg_Gridmet/Bcg_Gridmet.py b/public/Bcg_Gridmet/Bcg_Gridmet.py
@@ -0,0 +1,24 @@
+"""
+Requirements
+- Pull these weather features/bands: ["pr", "tmmn", "tmmx", "srad", "rmax", "rmin", "sph"]
+- Date range will be from **2014-2024**
+
+Data:
+- .nc files are here: https://www.northwestknowledge.net/metdata/data/
+"""
+
+@fused.udf
+def udf(bbox, year: str = "2016", var: str="tmmn"):
+    import pandas as pd
+    import xarray
+
+    xy_cols = ['lon', 'lat']
+
+    # Dynamically construct the path based on the year and month
+    path=f'https://www.northwestknowledge.net/metdata/data/{var}_{year}.nc'
+
+    path = fused.download(path, path) 
+    ds = xarray.open_dataset(path, engine='h5netcdf')
+    print('ds', ds)
+    return
+
diff --git a/public/Bcg_Gridmet/README.MD b/public/Bcg_Gridmet/README.MD
@@ -0,0 +1,11 @@
+<!--fused:preview-->
+<p align="center"><img src="https://fused-magic.s3.us-west-2.amazonaws.com/thumbnails/udfs-staging/sif.png" width="600" alt="UDF preview image"></p>
+
+<!--fused:readme-->
+# Solar Induced Fluorescence
+
+Visualize global photosynthesis with this solar-induced fluorescence (SIF) dataset. The dataset bridges satellite and ground-based photosynthesis measurements, unlocking new insights into Earth's biomes.
+
+Covering September 2014 to July 2020, this dataset provides 16-day mean SIF estimates at 0.05° (5 km) resolution using an ANN trained on OCO-2 and MODIS data. Adjust the "month", "year" and "period" parameter to explore SIF patterns by time, supporting applications like drought monitoring, yield estimation, and agricultural planning. 
+
+
diff --git a/public/Bcg_Gridmet/meta.json b/public/Bcg_Gridmet/meta.json
@@ -0,0 +1,168 @@
+{
+  "version": "0.0.3",
+  "job_config": {
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+          "name": "Bcg_Gridmet",
+          "entrypoint": "udf",
+          "parameters": {},
+          "metadata": {
+            "fused:description": "# Solar Induced Fluorescence\n\nVisualize global photosynthesis with this solar-induced fluorescence (SIF) dataset. The dataset bridges satellite and ground-based photosynthesis measurements, unlocking new insights into Earth's biomes.\n\nCovering September 2014 to July 2020, this dataset provides 16-day mean SIF estimates at 0.05° (5 km) resolution using an ANN trained on OCO-2 and MODIS data. Adjust the \"month\", \"year\" and \"period\" parameter to explore SIF patterns by time, supporting applications like drought monitoring, yield estimation, and agricultural planning. \n\n\n",
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+}