{ "cells": [ { "cell_type": "markdown", "id": "a551ad38", "metadata": {}, "source": [ "# End-to-end dapper tutorial\n", "\n", "This notebook walks through a **minimal** end-to-end dapper workflow for three 0.5° × 0.5° grid cells. It highlights the core functionality of `dapper` but does not get into details. Other notebooks do deeper dives into elements of `dapper` functionality.\n", "\n", "`dapper` supports two run modes:\n", "\n", "- **`mode=\"sites\"`**: *one set of ELM files per geometry* (per grid cell in our case here, or `gid` in `dapper` terminology).\n", "- **`mode=\"cellset\"`**: *one set of ELM files total* containing multiple grid cells.\n", "\n", "This notebook uses `mode=\"sites\"`, but the workflow remains the same if you want to use `mode=\"cellset\"`. \n", "\n", "Important: **“sites” does _not_ mean at-a-point.** Your *input geometries can be polygons* (as we do here). \n", "When a point is needed (e.g., nearest-neighbor sampling or to label a cell), `dapper` computes and uses a **representative point** inside each polygon.\n", "\n", "We also demonstrate the difference between **point vs zonal sampling** for surface and landuse file generation:\n", "\n", "- **point/nearest**: sample the underlying global file usingthe polygon’s representative point (nearest neighbor)\n", "- **zonal**: sample the underlying global file using the area-weighted intersection of the polygon with the source grid (spatial aggregation)\n", "\n", "## What you need locally to run this notebook.\n", "\n", "Nothing that isn't already in the repo! However, there are some steps for which you may want to use your data instead of the notebook's.\n", "\n", "For MET sampling, we include **GEE sampling code** that creates the raw CSV shards, *but* you can skip it and instead place pre-sampled CSVs in `raw_gee_csvs/`. Example data has already been placed here, so you do not need GEE access to run this notebook *unless* you want to sample the ERA5 met data on your own.\n", "\n", "`dapper` cannot ship the global surface and landuse files (too big). However, a version of these is provided that has been cropped to a region that allows this notebook to run. If you have your own global surface and/or landuse files, you can point to them at the appropriate place in the notebook (or your own run script, eventually)." ] }, { "cell_type": "code", "execution_count": null, "id": "6b869c9c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "DAPPER_ROOT: X:\\Research\\NGEE Arctic\\dapper\n", "OUT_ROOT: X:\\Research\\NGEE Arctic\\dapper\\docs\\tutorials\\end-to-end\\outputs\n", "GEE_MET_SHARDS: X:\\Research\\NGEE Arctic\\dapper\\docs\\data\\end-to-end\\gee_shards\n", "SURF_GLOBAL_NC: X:\\Research\\NGEE Arctic\\dapper\\docs\\data\\end-to-end\\surf_pseudoglobal.nc\n", "LANDUSE_GLOBAL_NC: X:\\Research\\NGEE Arctic\\dapper\\docs\\data\\end-to-end\\landuse_pseudoglobal.nc\n" ] } ], "source": [ "from pathlib import Path\n", "\n", "# A helper function to make sure we're pathing correctly\n", "def find_repo_root(start=None, markers=(\"pyproject.toml\", \"setup.cfg\", \".git\")) -> Path:\n", " \"\"\"Walk upward from start (default: cwd) until a repo marker is found.\"\"\"\n", " p = Path(start or Path.cwd()).resolve()\n", " for parent in (p, *p.parents):\n", " if any((parent / m).exists() for m in markers):\n", " return parent\n", " raise FileNotFoundError(\n", " \"Could not find dapper repo root. Set manually.\"\n", " )\n", "\n", "\n", "# Locate the dapper repo - change if necessary\n", "DAPPER_ROOT = find_repo_root() # this variable needs to be the dapper repo root directory; if you're not running this notebook from the notebook directory, you'll need to manually specify this\n", "\n", "# Where to store outputs - feel free to change these paths\n", "OUT_ROOT = DAPPER_ROOT / 'docs' / 'tutorials' / 'end-to-end' / 'outputs'\n", "OUT_ROOT.mkdir(parents=True, exist_ok=True)\n", "OUT_SITES = OUT_ROOT / \"sites_mode\" # just to differentiate between 'sites' and 'cellset' mode, although we won't be running 'cellset' here\n", "\n", "# Where the (pre-sampled) GEE CSV shards live.\n", "GEE_MET_SHARDS = Path(DAPPER_ROOT / \"docs\" / \"data\" / \"end-to-end\" / \"gee_shards\").resolve()\n", "GEE_MET_SHARDS.mkdir(parents=True, exist_ok=True)\n", "\n", "# In order to create surface and landuse files, we sample from global files. dapper provides these\n", "# \"pseudo-global\" files that have been cropped from true global files to cover the areas of interest\n", "# in this notebook. The actual global files are way too big for a GitHub repo. If you have access\n", "# to global files (you should), you can use those paths here instead of these.\n", "SURF_GLOBAL_NC = DAPPER_ROOT / 'docs' / 'data' / 'end-to-end' / 'surf_pseudoglobal.nc'\n", "LANDUSE_GLOBAL_NC = DAPPER_ROOT / 'docs' / 'data' / 'end-to-end' / 'landuse_pseudoglobal.nc'\n", "\n", "print(\"DAPPER_ROOT:\", DAPPER_ROOT)\n", "print(\"OUT_ROOT:\", OUT_ROOT)\n", "print(\"GEE_MET_SHARDS:\", GEE_MET_SHARDS)\n", "print(\"SURF_GLOBAL_NC:\", SURF_GLOBAL_NC)\n", "print(\"LANDUSE_GLOBAL_NC:\", LANDUSE_GLOBAL_NC)" ] }, { "cell_type": "markdown", "id": "ce95fe6c", "metadata": {}, "source": [ "## Make our geometries\n", "\n", "For this example, we're just going to create three 0.5 degree grid cells centered in the Colville River Basin. You can obviously swap your own geometries in here (shapefile, geopackage, geojson, etc.).\n", "\n", "We use shared latitude bounds:\n", "- **lat**: 69.25 → 69.75 (center 69.5)\n", "\n", "Three adjacent longitude bounds (0.5° each):\n", "- **cell_01**: [-152.25, -151.75]\n", "- **cell_02**: [-151.75, -151.25]\n", "- **cell_03**: [-151.25, -150.75]\n", "\n", "Let's plot these cells on a basemap as a quick sanity check." ] }, { "cell_type": "code", "execution_count": 4, "id": "2dbeec99", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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gidgeometry
0cell_01POLYGON ((-151.75 69.25, -151.75 69.75, -152.2...
1cell_02POLYGON ((-151.25 69.25, -151.25 69.75, -151.7...
2cell_03POLYGON ((-150.75 69.25, -150.75 69.75, -151.2...
\n", "
" ], "text/plain": [ " gid geometry\n", "0 cell_01 POLYGON ((-151.75 69.25, -151.75 69.75, -152.2...\n", "1 cell_02 POLYGON ((-151.25 69.25, -151.25 69.75, -151.7...\n", "2 cell_03 POLYGON ((-150.75 69.25, -150.75 69.75, -151.2..." ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from shapely.geometry import box\n", "import geopandas as gpd\n", "from requests.exceptions import SSLError\n", "\n", "lat_min, lat_max = 69.25, 69.75\n", "lon_edges = [-152.25, -151.75, -151.25, -150.75] # 3 cells\n", "\n", "rows = []\n", "for i in range(3):\n", " gid = f\"cell_{i+1:02d}\"\n", " lon_min, lon_max = lon_edges[i], lon_edges[i+1]\n", " geom = box(lon_min, lat_min, lon_max, lat_max)\n", " rows.append({\"gid\": gid, \"geometry\": geom})\n", "\n", "gdf_cells = gpd.GeoDataFrame(rows, crs=\"EPSG:4326\")\n", "gdf_cells" ] }, { "cell_type": "code", "execution_count": null, "id": "db078e01", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the 3 cells on a basemap (uses dapper's topounit plotting helpers).\n", "# If `contextily` isn't installed, we fall back to a simple boundary plot.\n", "# If you get a connection error, disable your VPN.\n", "try:\n", " from dapper.topounit.topoplot import plot_static\n", "\n", " gdf_plot = gdf_cells.copy()\n", " gdf_plot[\"legend_label\"] = gdf_plot[\"gid\"] # plot_static colors by `legend_label`\n", "\n", " plot_static(gdf_plot, basemap=\"terrain\", figsize=(7, 5), alpha=0.35, legend=True)\n", "except (ImportError, SSLError):\n", " ax = gdf_cells.boundary.plot(figsize=(6, 4))\n", " gdf_cells.apply(lambda r: ax.text(r.geometry.representative_point().x,\n", " r.geometry.representative_point().y,\n", " r[\"gid\"]),\n", " axis=1)\n", " ax.set_title(\"Three 0.5° × 0.5° cells (no basemap)\")\n" ] }, { "cell_type": "markdown", "id": "44baf21b", "metadata": {}, "source": [ "## Create Domain Class\n", "\n", "Any work you do using `dapper` requires that you are explicit about your geographical area(s) of focus. You can be focused on a site (point), a site (polygon/watershed), or many sites/grid cells. All of `dapper`'s functionality requires that you instantiate a `Domain` class. It's easy to do.\n", "\n", "`Domain` serves a couple of functions. One, it ensures that your specified area(s) of interest is/are formatted correctly and parseable. Two, it serves as a convenient way to access all of `dapper`'s functionality! No need to import individual functions--you can just use the methods contained in `Domain`.\n", "\n", "Before we go on, I want to re-emphasize that this is a `dapper` design choice--**everything starts with a user specifying the area(s) of interest.**\n", "\n", "The other thing that you need to decide at this point is if you want exports that are **sites** (each geometry you provide results in a set of input files) or **cellset** (all geometries will be in a single set of files). For this notebook, we're just going to specify `method=sites`, but you can run it again with `method=cellset` if you're unclear about what the difference is. If you do that, make sure to delete your old output files so you're not confused.\n", "\n", "One final note--**the geometry(ies) you provide (as a GeoDataFrame, usually) *must* have a `gid` column with unique values.** This column is used to name and keep track of your geometries. In our case, we've set `gid` to be `[\"cell_01\", \"cell_02\", \"cell_03\"]`. `gid` will get converted to a string if you use numeric values." ] }, { "cell_type": "code", "execution_count": 7, "id": "92b477c9", "metadata": {}, "outputs": [], "source": [ "from dapper import Domain\n", "\n", "# Keep polygons in Domain.cells for BOTH modes\n", "domain = Domain.from_provided(\n", " gdf_cells,\n", " name=\"three_cells\",\n", " mode=\"sites\",\n", " cell_kind=\"as_provided\",\n", ") # OMG so easy" ] }, { "cell_type": "markdown", "id": "468ce407", "metadata": {}, "source": [ "## Met Data\n", "\n", "This section has **two parts**:\n", "\n", "1) **(Optional) GEE sampling code** that submits export tasks to Google Drive (creates the CSV shards that `dapper` will make ELM-ready). \n", "2) **Exporting Met data** from `RAW_GEE_CSVS_DIR` into ELM NetCDFs. I have already done the sampling and uploaded the shards to the `dapper` repo, so you can skip step 1 if you want.\n", "\n", "Here we will sample and export ERA5-Land hourly data for our 3 cells. There are many options we won't be covering here (e.g. you can export at different time aggregations, there is an `Adapter` for FluxNet/Flux Tower data, etc.)" ] }, { "cell_type": "markdown", "id": "864d892e", "metadata": {}, "source": [ "### 1) (Optional) GEE Sampling ERA5-Land\n", "\n", "You will need to have installed `earthengine-api` (it's a `dapper` dependency so you should already have it) **and** run `ee.Authenticate()` at least once.\n", "\n", "This will create CSV shards in your specified Google Drive folder. After tasks complete, download them into `RAW_GEE_CSVS_DIR`.\n", "\n", "**You must set:**\n", "- `GEE_PROJECT`\n", "- `GDRIVE_FOLDER`\n", "\n", "You can also set `skip_tasks=True` when calling `sample_e5lh` to do a dry-run validation without starting tasks. The code below has this set to `False` because I already ran this and exported the files; change it to `True` if you want to sample for yourself. Note that it will take some minutes (depends on GEE's load)." ] }, { "cell_type": "code", "execution_count": 8, "id": "9a048761", "metadata": {}, "outputs": [], "source": [ "GEE_PROJECT = 'ee-jonschwenk' # <-- must change me\n", "GDRIVE_FOLDER = \"dapper_e2e_3cells\" # <-- change me if ya want\n", "\n", "# Small time range for an example (adjust as desired)\n", "START_DATE = \"2020-01-01\" # earliest available is 1950-01-01 (YYYY-MM-DD)\n", "END_DATE = \"2022-01-01\" # keep small for a demo - can put 2100-01-01 to get the latest available data\n", "\n", "import ee\n", "from dapper import sample_e5lh\n", "\n", "ee.Initialize(project=GEE_PROJECT)\n", "\n", "sampling_params = dict(\n", " start_date=START_DATE,\n", " end_date=END_DATE,\n", " geometries=domain, # can also pass domain_sites; geometries are the same here\n", " geometry_id_field=\"gid\",\n", " gee_bands=\"elm\", # \"elm\" or \"all\" or explicit list\n", " gdrive_folder=GDRIVE_FOLDER,\n", " job_name=\"e2e_3cells_era5\",\n", " gee_scale=\"native\",\n", " gee_years_per_task=1,\n", ")\n", "\n", "# Starts export tasks unless skip_tasks=True\n", "dom_sample = sample_e5lh(sampling_params, skip_tasks=True) # change skip_tasks to False in order to actually start the tasks on GEE" ] }, { "cell_type": "markdown", "id": "96daf933", "metadata": {}, "source": [ "### 2) Export to ELM-ready\n", "\n", "`GEE_MET_SHARDS` should contain one or more `*.csv` shards with a `gid` column matching `cell_01`, `cell_02`, `cell_03`. A \"shard\" is just a `*.csv` file exported using the `sample_e5lh` function above.\n", "\n", "If you have Fluxnet data, you can swap in `FluxnetAdapter` instead of `ERA5Adapter`—the export call is the same, only the adapter/config changes." ] }, { "cell_type": "code", "execution_count": 10, "id": "f3587427", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CSV shards present: True\n", "X:\\Research\\NGEE Arctic\\dapper\\docs\\data\\end-to-end\\gee_shards\n" ] } ], "source": [ "from dapper import ERA5Adapter\n", "\n", "# Just a little check to make sure your CSV shards are available\n", "def _has_csv_shards(p: Path) -> bool:\n", " return any(p.glob(\"*.csv\"))\n", "\n", "print(\"CSV shards present:\", _has_csv_shards(GEE_MET_SHARDS)) # If this is False, you need to fix something!\n", "print(GEE_MET_SHARDS)\n", "adapter = ERA5Adapter()" ] }, { "cell_type": "code", "execution_count": 11, "id": "28016985", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Processing file 1 of 2: X:\\Research\\NGEE Arctic\\dapper\\docs\\data\\end-to-end\\gee_shards\\e2e_3cells_era5_2020-01-01_2021-01-01.csv\n", "Processing file 2 of 2: X:\\Research\\NGEE Arctic\\dapper\\docs\\data\\end-to-end\\gee_shards\\e2e_3cells_era5_2021-01-01_2022-01-01.csv\n", "sites export complete.\n" ] }, { "data": { "text/plain": [ "{'cell_01': WindowsPath('X:/Research/NGEE Arctic/dapper/docs/tutorials/end-to-end/outputs/sites_mode/cell_01/MET'),\n", " 'cell_02': WindowsPath('X:/Research/NGEE Arctic/dapper/docs/tutorials/end-to-end/outputs/sites_mode/cell_02/MET'),\n", " 'cell_03': WindowsPath('X:/Research/NGEE Arctic/dapper/docs/tutorials/end-to-end/outputs/sites_mode/cell_03/MET')}" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Export MET for sites mode (one MET directory per gid)\n", "# Output: OUT_SITES//MET/*.nc\n", "met_sites = domain.export_met(\n", " src_path=GEE_MET_SHARDS,\n", " adapter=adapter,\n", " out_dir=OUT_SITES,\n", " calendar=\"noleap\", # excludes Feb. 29\n", " dtime_resolution_hrs=1, # can change if you want. I think even 0.5 works if you want interpolated 30-minute data, but I wouldn't recommend it.\n", " dformat=\"BYPASS\", # don't change this as no other options are supported. Eventually we might support DATM if needed.\n", " overwrite=False,\n", " append_attrs={\"dapper_example\": \"hi mom!\"}, # you can add metadata to the exported met netCDFs\n", ")\n", "met_sites" ] }, { "cell_type": "markdown", "id": "367c31aa", "metadata": {}, "source": [ "---\n", "\n", "## Domain file export\n", "\n", "ELM typically expects a `domain.nc` describing the land mask / cell layout. We can export it for each cell easily." ] }, { "cell_type": "code", "execution_count": 12, "id": "a2c0a952", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'cell_01': WindowsPath('X:/Research/NGEE Arctic/dapper/docs/tutorials/end-to-end/outputs/sites_mode/cell_01/domain.nc'),\n", " 'cell_02': WindowsPath('X:/Research/NGEE Arctic/dapper/docs/tutorials/end-to-end/outputs/sites_mode/cell_02/domain.nc'),\n", " 'cell_03': WindowsPath('X:/Research/NGEE Arctic/dapper/docs/tutorials/end-to-end/outputs/sites_mode/cell_03/domain.nc')}" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "domain.export_domain(out_dir=OUT_SITES, overwrite=True)" ] }, { "cell_type": "markdown", "id": "8f5770f6", "metadata": {}, "source": [ "---\n", "\n", "## Surface + Landuse export (requires local global NetCDFs)\n", "\n", "In addition to showing how surface and landuse files can be generated with `dapper`, this section also demonstrates **point vs zonal** sampling. `dapper` generates surface and landuse files from existing global ones. If your geometries are polygons, we can sample from these global files one of two ways:\n", "\n", "- **nearest (point)**: sample at polygon representative point (nearest neighbor)\n", "- **zonal**: area-weighted intersection of polygon with the source grid (weighted-by-area spatial aggregation over your polygon)\n", "\n", "You must make sure that the following two files exist (pseudo-global versions are shipped with `dapper` and should already be locked in for this notebook):\n", "- `SURF_GLOBAL_NC` (surface global)\n", "- `LANDUSE_GLOBAL_NC` (landuse global)\n", "\n", "\n", "You can also subset variables (or rename variables) during export; this notebook sticks to defaults for clarity.\n" ] }, { "cell_type": "markdown", "id": "0447cfcd", "metadata": {}, "source": [ "## Surface files export (nearest-neighbor sampling)\n", "\n", "One thing we'll bring attention to in this block is that you can include the `append_attrs` keyword and provide a `dict` that has key:value pairs of any extra metadata you want to append to your exported files. *This works for all the `export_XXX()` methods.* `dapper` also automatically appends some metadata to exported `.nc` files that helps track provenance and methods used to generate it." ] }, { "cell_type": "code", "execution_count": 14, "id": "901f91f4", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "sites surface: {'cell_01': WindowsPath('X:/Research/NGEE Arctic/dapper/docs/tutorials/end-to-end/outputs/sites_mode/cell_01/surfdata.nc'), 'cell_02': WindowsPath('X:/Research/NGEE Arctic/dapper/docs/tutorials/end-to-end/outputs/sites_mode/cell_02/surfdata.nc'), 'cell_03': WindowsPath('X:/Research/NGEE Arctic/dapper/docs/tutorials/end-to-end/outputs/sites_mode/cell_03/surfdata.nc')}\n" ] } ], "source": [ "import xarray as xr\n", "surf_sites = domain.export_surface(\n", " src_path=SURF_GLOBAL_NC,\n", " out_dir=OUT_SITES,\n", " filename=\"surfdata.nc\",\n", " overwrite=False,\n", " sampling_method=\"nearest\",\n", " append_attrs={\"dapper_example\": \"hi mom!\", \"sampling\": \"nearest\"},\n", ")\n", "print(\"sites surface:\", surf_sites)" ] }, { "cell_type": "markdown", "id": "e3478768", "metadata": {}, "source": [ "## Landuse files export (zonal sampling)\n", "\n", "Here we follow the same pattern as the surface files export, except we'll use `sampling_method=zonal`. From a user perspective, it's a small change, but it can make a big difference in the resulting sampled values." ] }, { "cell_type": "code", "execution_count": 16, "id": "aac89491", "metadata": {}, "outputs": [], "source": [ "landuse_zonal = domain.export_landuse(\n", " src_path=LANDUSE_GLOBAL_NC,\n", " out_dir=OUT_SITES,\n", " filename=\"landuse_zonal.nc\",\n", " overwrite=False,\n", " sampling_method=\"zonal\",\n", " append_attrs={\"dapper_example\": \"e2e_3cells_cellset\", \"sampling\": \"zonal\"},\n", ")" ] }, { "cell_type": "markdown", "id": "e9ed7fe1", "metadata": {}, "source": [ "---\n", "\n", "## Summary: what got written?\n", "\n", "Take a look at our OUT_SITES directory. The following code block with print the OUT_ROOT directory tree so we can look at the files (you can also just look at them via your OS browser)." ] }, { "cell_type": "code", "execution_count": 20, "id": "42b9b245", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "outputs/\n", "├─ sites_mode/\n", " ├─ cell_01/\n", " ├─ MET/\n", " └─ FLDS.nc\n", " └─ FSDS.nc\n", " └─ PRECTmms.nc\n", " └─ PSRF.nc\n", " └─ QBOT.nc\n", " └─ TBOT.nc\n", " └─ WIND.nc\n", " └─ zone_mappings.txt\n", " └─ domain.nc\n", " └─ landuse_zonal.nc\n", " └─ landuse_zonal.nc.zonal_weights.csv\n", " └─ surfdata.nc\n", " ├─ cell_02/\n", " ├─ MET/\n", " └─ FLDS.nc\n", " └─ FSDS.nc\n", " └─ PRECTmms.nc\n", " └─ PSRF.nc\n", " └─ QBOT.nc\n", " └─ TBOT.nc\n", " └─ WIND.nc\n", " └─ zone_mappings.txt\n", " └─ domain.nc\n", " └─ landuse_zonal.nc\n", " └─ landuse_zonal.nc.zonal_weights.csv\n", " └─ surfdata.nc\n", " ├─ cell_03/\n", " ├─ MET/\n", " └─ FLDS.nc\n", " └─ FSDS.nc\n", " └─ PRECTmms.nc\n", " └─ PSRF.nc\n", " └─ QBOT.nc\n", " └─ TBOT.nc\n", " └─ WIND.nc\n", " └─ zone_mappings.txt\n", " └─ domain.nc\n", " └─ landuse_zonal.nc\n", " └─ landuse_zonal.nc.zonal_weights.csv\n", " └─ surfdata.nc\n" ] } ], "source": [ "def tree(p):\n", " p = Path(p)\n", " print(p.name + \"/\")\n", " for x in sorted(p.rglob(\"*\"), key=lambda x: (x.parts, x.is_file(), x.name)):\n", " depth = len(x.relative_to(p).parts) - 1\n", " print(\" \" * depth + (\"└─ \" if x.is_file() else \"├─ \") + x.name + (\"/\" if x.is_dir() else \"\"))\n", "\n", "tree(OUT_ROOT)\n" ] }, { "cell_type": "markdown", "id": "670c1409", "metadata": {}, "source": [ "The first thing to point out is that we have 3 sets of output folders (`cell01`, `cell_02`, and `cell_03`). Each of those has a complete set of ELM-ready files. This is because we selected `method=sites` when we insantiated the `Domain` class. We could re-run this notebook exactly the same, but set `method=cellset`, and the result at the end would be *one* set of files, where each file contains all three cells. Try it out!\n", "\n", "If we dig in a little futher, we see that a `MET` directory is created for each site. That `MET` directory contains 8 meteorological variables sampled from ERA5-Land hourly. It also contains a `zone_mappings.txt` file needed to run ELM.\n", "\n", "We also see the `domain.nc`, `landuse.nc`, and `surfdata.nc` files needed to run ELM. Again, here we have 3 sets of these (one per site), but we could put all this data into single files if we used `method=cellset`. You also see a `XXX.zonal_weights.csv`. When we sample surface and/or landuse files with `sampling_method=zonal`, this file simply contains the weights that were used to spatially aggregate each parameter.\n", "\n", "Here is a good place to put a couple disclaimers:\n", "- `dapper` currently only has *very* basic functionality to validate that the values in the output files are correct. **You should check the values in each file to make sure they're what you expect.**\n", " \n", "- Using `sampling_method=zonal` should be considered somewhat *beta*. This is because: every parameter in the global file (and there are dozens) requires the correct spatial aggregation method. `dapper` currently employs a fairly basic method to determine how to perform this aggregation (based on datatype), but these methods should eventually be defined explicitly for every parameter. As an example of what I mean here: if a parameter is a \"class\" variable (`1=landtype1`, `2=landtype2`, etc.), then spatial aggregation should be done by `mode`, not `average`.\n", " \n", "## Quick check of written files\n", "We won't go in depth here on exploring the `dapper` outputs (see the other notebooks for that), but let's just open a single file and look at the variables it contains and its metadata." ] }, { "cell_type": "code", "execution_count": 23, "id": "60f8307e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Dimensions:\n", " lsmlat: 1\n", " lsmlon: 1\n", " nlevsoi: 10\n", " natpft: 17\n", " time: 12\n", " lsmpft: 17\n", " nlevslp: 11\n", " numurbl: 3\n", " numrad: 2\n", " nlevurb: 5\n", " nglcec: 10\n", " nglcecp1: 11\n" ] } ], "source": [ "INSPECT_PATH = OUT_SITES / 'cell_01' / 'surfdata.nc'\n", "\n", "# Let's look at the dimensions\n", "ds = xr.open_dataset(INSPECT_PATH, decode_cf=False)\n", "print(\"Dimensions:\")\n", "for dim, n in ds.sizes.items():\n", " print(f\" {dim}: {n}\")\n" ] }, { "cell_type": "code", "execution_count": 24, "id": "96898a62", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ALB_IMPROAD_DIF, ALB_IMPROAD_DIR, ALB_PERROAD_DIF, ALB_PERROAD_DIR, ALB_ROOF_DIF, ALB_ROOF_DIR, ALB_WALL_DIF, ALB_WALL_DIR, APATITE_P, AREA, CANYON_HWR, CV_IMPROAD, CV_ROOF, CV_WALL, Ds, Dsmax, EF1_BTR, EF1_CRP, EF1_FDT, EF1_FET, EF1_GRS, EF1_SHR, EM_IMPROAD, EM_PERROAD, EM_ROOF, EM_WALL, F0, FMAX, GLC_MEC, HT_ROOF, LABILE_P, LAKEDEPTH, LANDFRAC_PFT, LATIXY, LONGXY, MONTHLY_HEIGHT_BOT, MONTHLY_HEIGHT_TOP, MONTHLY_LAI, MONTHLY_SAI, NLEV_IMPROAD, OCCLUDED_P, ORGANIC, P3, PCT_CLAY, PCT_CROP, PCT_GLACIER, PCT_GLC_GIC, PCT_GLC_ICESHEET, PCT_GLC_MEC, PCT_GLC_MEC_GIC, PCT_GLC_MEC_ICESHEET, PCT_GRVL, PCT_LAKE, PCT_NATVEG, PCT_NAT_PFT, PCT_SAND, PCT_URBAN, PCT_WETLAND, PFTDATA_MASK, SECONDARY_P, SINSL_COSAS, SINSL_SINAS, SKY_VIEW, SLOPE, SLP_P10, SOIL_COLOR, SOIL_ORDER, STDEV_ELEV, STD_ELEV, TERRAIN_CONFIG, THICK_ROOF, THICK_WALL, TK_IMPROAD, TK_ROOF, TK_WALL, TOPO, TOPO_GLC_MEC, T_BUILDING_MAX, T_BUILDING_MIN, URBAN_REGION_ID, WIND_HGT_CANYON, WTLUNIT_ROOF, WTROAD_PERV, Ws, ZWT0, abm, binfl, gdp, mxsoil_color, mxsoil_order, natpft, parEro_c1, parEro_c2, parEro_c3, peatf, time\n" ] } ], "source": [ "# Let's look at all the parameters in our file\n", "vars_flat = \", \".join(sorted(ds.variables.keys()))\n", "print(vars_flat)\n" ] }, { "cell_type": "code", "execution_count": 25, "id": "ec7487fd", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Conventions: NCAR-CSM\n", "History_Log: created on: 06-09-20 11:44:04\n", "Logname: gbisht\n", "Host: cori10\n", "Source: Community Land Model: CLM4\n", "Version: $HeadURL: https://svn-ccsm-models.cgd.ucar.edu/clm2/trunk_tags/clm4_5_1_r085/models/lnd/clm/tools/clm4_5/mksurfdata_map/src/mkfileMod.F90 $\n", "Revision_Id: $Id: mkfileMod.F90 47951 2013-06-12 11:13:58Z sacks $\n", "Compiler_Optimized: TRUE\n", "no_inlandwet: TRUE\n", "nglcec: 10\n", "Input_grid_dataset: map_0.5x0.5_MODIS_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "Input_gridtype: global\n", "VOC_EF_raw_data_file_name: mksrf_vocef_0.5x0.5_simyr2000.c110531.nc\n", "Inland_lake_raw_data_file_name: mksrf_LakePnDepth_3x3min_simyr2004_c111116.nc\n", "Inland_wetland_raw_data_file_name: mksrf_lanwat.050425.nc\n", "Glacier_raw_data_file_name: mksrf_glacier_3x3min_simyr2000.c120926.nc\n", "Urban_Topography_raw_data_file_name: mksrf_topo.10min.c080912.nc\n", "Land_Topography_raw_data_file_name: topodata_10min_USGS_071205.nc\n", "Urban_raw_data_file_name: mksrf_urban_0.05x0.05_simyr2000.c120621.nc\n", "Lai_raw_data_file_name: mksrf_lai_global_c090506.nc\n", "agfirepkmon_raw_data_file_name: mksrf_abm_0.5x0.5_AVHRR_simyr2000.c130201.nc\n", "gdp_raw_data_file_name: mksrf_gdp_0.5x0.5_AVHRR_simyr2000.c130228.nc\n", "peatland_raw_data_file_name: mksrf_peatf_0.5x0.5_AVHRR_simyr2000.c130228.nc\n", "topography_stats_raw_data_file_name: mksrf_topostats_1km-merge-10min_HYDRO1K-merge-nomask_simyr2000.c130402.nc\n", "vic_raw_data_file_name: mksrf_vic_0.9x1.25_GRDC_simyr2000.c130307.nc\n", "ch4_params_raw_data_file_name: mksrf_ch4inversion_360x720_cruncep_simyr2000.c130322.nc\n", "map_pft_file_name: map_0.5x0.5_MODIS_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_lakwat_file: map_3x3min_MODIS_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_wetlnd_file: map_0.5x0.5_AVHRR_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_glacier_file: map_3x3min_GLOBE-Gardner_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_soil_texture_file: map_5x5min_IGBP-GSDP_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_soil_color_file: map_0.5x0.5_MODIS_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_soil_order_file: map_0.5x0.5_MODIS_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_soil_organic_file: map_5x5min_ISRIC-WISE_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_urban_file: map_3x3min_LandScan2004_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_fmax_file: map_3x3min_USGS_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_VOC_EF_file: map_0.5x0.5_AVHRR_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_harvest_file: map_0.5x0.5_MODIS_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_lai_sai_file: map_0.5x0.5_MODIS_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_urban_topography_file: map_10x10min_nomask_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_land_topography_file: map_10x10min_nomask_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_agfirepkmon_file: map_0.5x0.5_AVHRR_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_gdp_file: map_0.5x0.5_AVHRR_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_peatland_file: map_0.5x0.5_AVHRR_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_topography_stats_file: map_1km-merge-10min_HYDRO1K-merge-nomask_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_vic_file: map_0.9x1.25_GRDC_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_ch4_params_file: map_360x720cru_cruncep_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_gravel_file: map_5x5min_ISRIC-WISE_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_slp10_file: map_0.5x0.5_AVHRR_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "map_erosion_file: map_0.5x0.5_AVHRR_to_0.5x0.5_nomask_aave_da_c190417.nc\n", "Soil_texture_raw_data_file_name: mksrf_soitex.10level.c010119.nc\n", "Soil_color_raw_data_file_name: mksrf_soilcol_global_c090324.nc\n", "Soil_order_raw_data_file_name: mksrf_soilord_global_c150313.nc\n", "Fmax_raw_data_file_name: mksrf_fmax_3x3min_USGS_c120911.nc\n", "Organic_matter_raw_data_file_name: mksrf_organic_10level_5x5min_ISRIC-WISE-NCSCD_nlev7_c120830.nc\n", "Vegetation_type_raw_data_filename: LUT_LUH2_historical_1850_04082019.nc\n", "soil_gravel_raw_data_file_name: mksrf_gravel_10level_5min.c190603.nc\n", "slope_percentile_raw_data_file_name: mksrf_slope_10p_0.5x0.5.c190603.nc\n", "erosion_raw_data_file_name: mksrf_soilero_0.5x0.5.c190603.nc\n", "dapper_example: hi mom!\n", "sampling: nearest\n", "dapper_created_utc: 2026-01-10T02:03:08.655328Z\n" ] } ], "source": [ "# And finally let's look at the metadata\n", "if ds.attrs:\n", " for k, v in ds.attrs.items():\n", " print(f\"{k}: {v}\")\n", "else:\n", " print(\"(no global attrs)\")\n" ] }, { "cell_type": "markdown", "id": "2efa3813", "metadata": {}, "source": [ "The only thing I'll point out here is that `dapper` copies all the metadata from the base global files. It also auto-appends the creation date, and we added a couple custom metadata keys. For example:" ] }, { "cell_type": "code", "execution_count": 30, "id": "84efb34d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "hi mom!\n" ] } ], "source": [ "print(ds.attrs['dapper_example'])" ] } ], "metadata": { "kernelspec": { "display_name": "dapper", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.9" } }, "nbformat": 4, "nbformat_minor": 5 }