feat: add new lakes data

data/downloads/process-lakes.sh

@@ -0,0 +1,12 @@
+#!/usr/bin/env bash
+
+FOLDER=./download/lakes
+
+set -e
+
+for filename in $FOLDER/*.tif; do
+  TIF_FILENAME=$filename
+  NC_FILENAME=${filename%.*}.nc
+  echo $TIF_FILENAME
+    python ./data/tif2netcdf.py -v lswt -f $TIF_FILENAME -o $NC_FILENAME
+done

data/gdal-colors/colors-lswt.txt

@@ -1,6 +1,14 @@
-3500 230 56 30
-2250 230 230 30
-1250 30 230 30
-500 20 210 230
--500 28 88 203
+3500 120 10 10
+3000 240 40 40
+2500 240 120 30
+2000 250 210 35
+1500 148 200 148
+1000 100 200 200
+500 65 168 240
+0 40 40 140
+-500 10 10 60
+-4999 10 10 60
+-5000 255 255 255
+-42767 0 0 0 0
 nv 0 0 0 0
+

data/layers-config.json

@@ -321,6 +321,7 @@
   },
   "lakes.lswt": {
     "colorMap": "custom",
+    "basemap": "dark",
     "timeFormat": {
       "year": "numeric",
       "month": "long"

data/tif2netcdf.py

@@ -1,6 +1,8 @@
+# pip install rioxarray
+
 from datetime import time
 import xarray as xr
-import rasterio
+import rioxarray
 import pandas as pd
 import re
 from argparse import ArgumentParser
@@ -11,7 +13,7 @@
 parser.add_argument("-v", "--variable", dest="variable")
 args = parser.parse_args()
 
-da = xr.open_rasterio(args.file)
+da = rioxarray.open_rasterio(args.file)
 ds = da.to_dataset(name=args.variable)
 
 timestamp = re.search("(\d+).tif$", args.file).group(0)

data/triggers/lakes_lswt.sh

@@ -4,16 +4,16 @@ TIMEOUT=16000
 LAYER_ID="lakes.lswt"
 VARIABLE_ID="lswt"
 LAYER_TYPE="image"
-VERSION="1.7.1"
+VERSION="1.8.1"
 LON_RES="4320"
 LAT_RES="2160"
 ZOOM_LEVELS="0-3"
 MIN_LON="-180"
-MAX_LON="180"
+MAX_LON="360"
 MIN_LAT="-90"
-MAX_LAT="90"
-MIN="-500"
-MAX="3500"
+MAX_LAT="180"
+MIN="auto"
+MAX="auto"
 MACHINE_TYPE="N1_HIGHCPU_8"
 
 if [ ! -f ./package.json ]; then

scripts/generate-legend-images.js

@@ -64,11 +64,18 @@ files.forEach(file => {
 function readColorFile(file) {
   const filePath = path.join(INTPUT_FOLDER, file);
   const content = fs.readFileSync(filePath, 'utf8');
-  return content
+  const stops = content
     .split('\n')
     .filter(Boolean)
     .filter(line => !line.startsWith('nv'))
     .map(line => line.split(' '));
+
+  if (file.includes('lswt')) {
+    // do not include the "ice" color
+    return stops.filter(([v]) => v > -1000);
+  }
+
+  return stops;
 }
 
 function writeImage(file, canvas) {