{
"cells": [
{
"cell_type": "markdown",
"id": "b5b32ae3",
"metadata": {},
"source": [
"# Interpreting Hydrometeorological Ensemble Verification Results\n",
"\n",
"This notebook is the second part of the Hydrometeorological ensemble verification tutorial.\n",
"\n",
"In the first notebook, we learned how to configure a verification experiment, run the _veriflow_ pipeline, inspect the resulting `OutputDataset`, and explore results using the interactive application.\n",
"\n",
"Here, we focus on **understanding and interpreting the verification results**.\n",
"\n",
"The goal is to understand what verification metrics and statistical criteria tell us about forecast performance, uncertainty, and reliability.\n",
"\n",
"We will explore:\n",
"\n",
"- What do the verification metric and statiscal criteria tell us?\n",
"- How does forecast quality change with lead time?\n",
"- How well does the ensemble represent uncertainty?\n",
"- What is the effect of different post-processing approaches?\n",
"\n",
"We will focus on:\n",
"\n",
"- **Scatter plots**: how close forecasts are to observations\n",
"- **Continuous Ranked Probability Score (CRPS)**: probabilistic forecast quiality\n",
"- **Rank histograms**: ensemble reliability and spread\n",
"\n",
"Throughout the notebook, we use discharge forecasts for the River Rhine at **Lobith** as a practical example.\n",
"\n",
"---"
]
},
{
"cell_type": "markdown",
"id": "53cc1f22",
"metadata": {},
"source": [
"## 1. What are we trying to evaluate?\n",
"\n",
"Forecast verification can answer different questions depending on the metrics/criteria used.\n",
"\n",
"In this notebook, we focus on:\n",
"\n",
"- **Accuracy**: are forecasts close to the observed values?\n",
"- **Bias**: do forecasts systematically overestimate or underestimate discharge?\n",
"- **Lead-time behaviour**: how does forecast quality change from short to longer lead times?\n",
"- **Uncertainty**: does the ensemble spread represent the range of possible outcomes?\n",
"- **Reliability**: do observations behave as if they could plausibly come from the forecast ensemble?\n",
"\n",
"These aspects are complementary. A forecast can be accurate on average but still poorly represent uncertainty, or it can have a realistic spread but still be biased."
]
},
{
"cell_type": "markdown",
"id": "4c57d82c",
"metadata": {},
"source": [
"## 2. Setup\n",
"\n",
"We reuse the same case study and data sources as in Notebook 1.\n",
"\n",
"The pipeline is run again here so that this notebook is self-contained."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6c3d873a",
"metadata": {},
"outputs": [],
"source": [
"# Add automatic reloading of modules in case of changes\n",
"%load_ext autoreload\n",
"%autoreload 2\n",
"\n",
"from datetime import datetime, timezone\n",
"import logging\n",
"\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pandas as pd\n",
"import xarray as xr\n",
"\n",
"from veriflow.configuration import Config, GeneralInfoConfig\n",
"from veriflow.configuration.utils import (\n",
" LeadTimes,\n",
" Range,\n",
" TimeUnits,\n",
" VerificationPair,\n",
" VerificationPeriod,\n",
")\n",
"from veriflow.constants import DataType\n",
"from veriflow.datasources import ZarrConfig\n",
"from veriflow.pipeline import run_pipeline\n",
"from veriflow.scores import CrpsForEnsembleConfig, RankHistogramConfig"
]
},
{
"cell_type": "markdown",
"id": "09931e69",
"metadata": {},
"source": [
"## 3. Define and run the verification pipeline\n",
"\n",
"The configuration below defines:\n",
"\n",
"- the verification period\n",
"- the forecast datasets and observation dataset\n",
"- the lead times\n",
"- the verification metrics and statistica; criteria\n",
"\n",
"The discharge forecasts were generated by forcing the HBV hydrological model with raw or post-processed ECMWF meteorological ensemble reforecasts."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "15393860",
"metadata": {},
"outputs": [],
"source": [
"general = GeneralInfoConfig(\n",
" verification_period=VerificationPeriod(\n",
" start=datetime(1988, 1, 1, tzinfo=timezone.utc),\n",
" end=datetime(2008, 12, 31, tzinfo=timezone.utc),\n",
" dimension=\"forecast_reference_time\",\n",
" ),\n",
" verification_pairs=[\n",
" VerificationPair(id=\"raw_raw\", obs=\"obs\", sim=\"raw_raw\", variable=\"Q\"),\n",
" VerificationPair(id=\"lin_log\", obs=\"obs\", sim=\"lin_log\", variable=\"Q\"),\n",
" VerificationPair(id=\"qqt_qqt\", obs=\"obs\", sim=\"qqt_qqt\", variable=\"Q\"),\n",
" ],\n",
" lead_times=LeadTimes(\n",
" unit=TimeUnits.day,\n",
" values=Range(start=0, end=10, step=1),\n",
" ),\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "d8a81384",
"metadata": {},
"outputs": [],
"source": [
"datasources = [\n",
" ZarrConfig(\n",
" general=general,\n",
" import_adapter=\"zarr\",\n",
" source=\"obs\",\n",
" data_type=DataType.observed_historical,\n",
" consolidated=True,\n",
" path=\"https://s3.deltares.nl/deltares-verification-assets/rhine_dataset_verkade_2013/obs_Q.zarr\",\n",
" ),\n",
" ZarrConfig(\n",
" general=general,\n",
" import_adapter=\"zarr\",\n",
" source=\"raw_raw\",\n",
" data_type=DataType.simulated_forecast_ensemble,\n",
" consolidated=True,\n",
" path=\"https://s3.deltares.nl/deltares-verification-assets/rhine_dataset_verkade_2013/case-raw-raw_Q.zarr\",\n",
" ),\n",
" ZarrConfig(\n",
" general=general,\n",
" import_adapter=\"zarr\",\n",
" source=\"lin_log\",\n",
" data_type=DataType.simulated_forecast_ensemble,\n",
" consolidated=True,\n",
" path=\"https://s3.deltares.nl/deltares-verification-assets/rhine_dataset_verkade_2013/case-lin-log_Q.zarr\",\n",
" ),\n",
" ZarrConfig(\n",
" general=general,\n",
" import_adapter=\"zarr\",\n",
" source=\"qqt_qqt\",\n",
" data_type=DataType.simulated_forecast_ensemble,\n",
" consolidated=True,\n",
" path=\"https://s3.deltares.nl/deltares-verification-assets/rhine_dataset_verkade_2013/case-qqt-qqt_Q.zarr\",\n",
" ),\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "05eab110",
"metadata": {},
"outputs": [],
"source": [
"scores = [\n",
" CrpsForEnsembleConfig(\n",
" score_adapter=\"crps_for_ensemble\",\n",
" general=general,\n",
" reduce_dims=[],\n",
" ),\n",
" RankHistogramConfig(\n",
" score_adapter=\"rank_histogram\",\n",
" general=general,\n",
" reduce_dims=[\"forecast_reference_time\"],\n",
" ),\n",
"]\n",
"\n",
"config = Config(\n",
" fileversion=\"0.1.0\",\n",
" general=general,\n",
" datasources=datasources,\n",
" scores=scores,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "6d9106ba",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2026-06-03 11:44:51,106 INFO veriflow.pipeline: Successfully initialized the configuration. \n",
"\t verification_period_start = 1988-01-01 00:00:00 \n",
"\t verification_period_end = 2008-12-31 00:00:00\n",
"2026-06-03 11:44:51,107 INFO veriflow.pipeline: Start getting data from Zarr.\n",
"2026-06-03 11:44:51,237 INFO veriflow.pipeline: Successfully got data from Zarr.\n",
"2026-06-03 11:44:51,238 INFO veriflow.pipeline: Start getting data from Zarr.\n",
"2026-06-03 11:44:51,252 INFO veriflow.pipeline: Successfully got data from Zarr.\n",
"2026-06-03 11:44:51,253 INFO veriflow.pipeline: Start getting data from Zarr.\n",
"2026-06-03 11:44:51,268 INFO veriflow.pipeline: Successfully got data from Zarr.\n",
"2026-06-03 11:44:51,269 INFO veriflow.pipeline: Start getting data from Zarr.\n",
"2026-06-03 11:44:51,284 INFO veriflow.pipeline: Successfully got data from Zarr.\n",
"2026-06-03 11:44:51,287 INFO veriflow.pipeline: Successfully loaded all data from sources.\n",
"2026-06-03 11:44:52,035 INFO veriflow.pipeline: Successfully computed CrpsForEnsemble for verification pair raw_raw.\n",
"2026-06-03 11:44:52,797 INFO veriflow.pipeline: Successfully computed CrpsForEnsemble for verification pair lin_log.\n",
"2026-06-03 11:44:53,477 INFO veriflow.pipeline: Successfully computed CrpsForEnsemble for verification pair qqt_qqt.\n",
"2026-06-03 11:44:56,070 INFO veriflow.pipeline: Successfully computed RankHistogram for verification pair raw_raw.\n",
"2026-06-03 11:44:58,363 INFO veriflow.pipeline: Successfully computed RankHistogram for verification pair lin_log.\n",
"2026-06-03 11:45:00,358 INFO veriflow.pipeline: Successfully computed RankHistogram for verification pair qqt_qqt.\n",
"2026-06-03 11:45:00,358 INFO veriflow.pipeline: Verification pipeline completed successfully.\n"
]
}
],
"source": [
"logging.basicConfig(\n",
" level=logging.INFO,\n",
" format=\"%(asctime)s %(levelname)s %(name)s: %(message)s\",\n",
" handlers=[logging.StreamHandler()],\n",
")\n",
"\n",
"output_dataset = run_pipeline(config)"
]
},
{
"cell_type": "markdown",
"id": "48b11beb",
"metadata": {},
"source": [
"## 4. Prepare data for interpretation\n",
"\n",
"The `OutputDataset` stores results per verification pair. \n",
"We first create a few convenience objects and helper functions that will be used throughout this notebook."
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "7bbbaa8c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'H-RN-0001'"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"verification_pairs = {pair.id: pair for pair in output_dataset.verification_pairs}\n",
"pair_datasets = {\n",
" pair_id: output_dataset.get(verification_pair=pair)\n",
" for pair_id, pair in verification_pairs.items()\n",
"}\n",
"\n",
"forecast_variants = [\"raw_raw\", \"lin_log\", \"qqt_qqt\"]\n",
"\n",
"# Use Lobith as the example station.\n",
"sample_ds = pair_datasets[\"raw_raw\"]\n",
"example_station = str(sample_ds.station.values[0])\n",
"example_station"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "ebb302bc",
"metadata": {},
"outputs": [],
"source": [
"def get_lead_coord_name(obj):\n",
" \"\"\"Return the lead-time coordinate/dimension name used by an xarray object.\"\"\"\n",
" for name in [\"lead_time\", \"forecast_period\"]:\n",
" if name in obj.dims or name in obj.coords:\n",
" return name\n",
" raise KeyError(\"No lead-time coordinate found. Expected 'lead_time' or 'forecast_period'.\")\n",
"\n",
"\n",
"def select_lead_time(da, lead_days):\n",
" \"\"\"Select a lead time in days, robust to coordinate naming and dtype.\"\"\"\n",
" lead_name = get_lead_coord_name(da)\n",
" target = np.timedelta64(lead_days, \"D\")\n",
"\n",
" try:\n",
" return da.sel({lead_name: target})\n",
" except Exception:\n",
" try:\n",
" return da.sel({lead_name: lead_days})\n",
" except Exception:\n",
" lead_values = da[lead_name].values\n",
" if np.issubdtype(lead_values.dtype, np.timedelta64):\n",
" lead_values_days = lead_values / np.timedelta64(1, \"D\")\n",
" else:\n",
" lead_values_days = lead_values\n",
" idx = int(np.where(lead_values_days == lead_days)[0][0])\n",
" return da.isel({lead_name: idx})\n",
"\n",
"\n",
"def use_valid_time_axis(da):\n",
" \"\"\"Use valid time as the plotting dimension when available.\"\"\"\n",
" if \"forecast_reference_time\" in da.dims and \"time\" in da.coords:\n",
" return da.swap_dims({\"forecast_reference_time\": \"time\"})\n",
" return da\n",
"\n",
"\n",
"def get_forecast_data(pair_id):\n",
" \"\"\"Return the forecast DataArray for one verification pair.\"\"\"\n",
" pair = verification_pairs[pair_id]\n",
" pair_ds = pair_datasets[pair_id]\n",
" if pair.sim in pair_ds.data_vars:\n",
" return pair_ds[pair.sim]\n",
" if pair_id in pair_ds.data_vars:\n",
" return pair_ds[pair_id]\n",
" raise KeyError(f\"Could not find forecast variable for pair '{pair_id}'.\")"
]
},
{
"cell_type": "markdown",
"id": "b53ed424",
"metadata": {},
"source": [
"## 5. Inspecting the coressponding input data\n",
"\n",
"Before interpreting verification and statistical results, it is useful to inspect the coressponding observations and forecasts datasets.\n",
"\n",
"The `OutputDataset` contains both the computed results and the coressponding input data used to calculate them. This helps us understand what is being compared before we interpret the results.\n",
"\n",
"Below, we inspect discharge at the **Lobith station (`H-RN-0001`)**."
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "735b1613",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'H-RN-0001'"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Select one verification pair and extract coressponding observations and forecasts.\n",
"sample_pair_id = \"raw_raw\"\n",
"sample_ds = pair_datasets[sample_pair_id]\n",
"\n",
"obs_da = sample_ds[\"obs\"]\n",
"sim_da = get_forecast_data(sample_pair_id)\n",
"\n",
"# Lobith station. You can change this to another station ID.\n",
"example_station = str(obs_da.station.values[0])\n",
"example_station"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "46c25672",
"metadata": {},
"outputs": [
{
"data": {
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],
"source": [
"lead_name = get_lead_coord_name(sim_da)\n",
"lead_values = sim_da[lead_name].values\n",
"\n",
"if np.issubdtype(lead_values.dtype, np.timedelta64):\n",
" lead_days = (lead_values / np.timedelta64(1, \"D\")).astype(int).tolist()\n",
"else:\n",
" lead_days = list(lead_values)\n",
"\n",
"summary = pd.DataFrame(\n",
" [\n",
" {\n",
" \"data\": \"observations\",\n",
" \"stations\": obs_da.sizes.get(\"station\"),\n",
" \"dimensions\": tuple(obs_da.dims),\n",
" },\n",
" {\n",
" \"data\": \"forecasts\",\n",
" \"stations\": sim_da.sizes.get(\"station\"),\n",
" \"ensemble_members\": sim_da.sizes.get(\"realization\"),\n",
" \"lead_times_days\": lead_days,\n",
" \"dimensions\": tuple(sim_da.dims),\n",
" },\n",
" ]\n",
")\n",
"\n",
"summary"
]
},
{
"cell_type": "markdown",
"id": "b0ce97df",
"metadata": {},
"source": [
"### Questions\n",
"\n",
"Before continuing, inspect the dataset summary above.\n",
"\n",
"1. How many forecast lead times are available?\n",
"2. What is the shortest and longest lead time?\n",
"3. How many ensemble members, or realizations, does each forecast contain?\n",
"4. Which dimensions are present in the forecast data?\n",
"5. Which dimensions are present in the observation data?\n",
"6. Why do the observations contain a `lead_time` dimension even though observations do not have forecast lead times?\n",
"\n",
"\n",
"Show suggested answers\n",
"\n",
"1. There are **10 forecast lead times**.\n",
"2. The lead times range from **1 day to 10 days**.\n",
"3. Each forecast contains **5 ensemble members** (`realization = 5`).\n",
"4. The forecast data contain dimensions:\n",
" - `forecast_reference_time`\n",
" - `lead_time`\n",
" - `station`\n",
" - `realization`\n",
"5. The observation data contain dimensions:\n",
" - `forecast_reference_time`\n",
" - `lead_time`\n",
" - `station`\n",
"6. The observations have been aligned to the forecast structure. For each forecast lead time, the corresponding observed value at the forecast valid time is stored. This makes it easier to compare forecasts and observations and compute verification diagnostics.\n",
"\n",
"Notice that observations do not have a `realization` dimension because there is only one observed value for each location and time.\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"id": "5fe2d383",
"metadata": {},
"source": [
"## 6. Quick exploration of observations and forecasts\n",
"\n",
"Before interpreting the verificationa and statistical results, we briefly inspect the discharge time series at Lobith.\n",
"\n",
"The first plot shows the observed discharge time series using a 1-day lead time. The second plot compares observations with the ensemble mean and spread for three lead times during 1995, when a major flood event occurred in the Rhine basin."
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "d6f3a2fc",
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"forecast_datasets = {\n",
" pair_id: get_forecast_data(pair_id).sel(station=example_station)\n",
" for pair_id in forecast_variants\n",
"}\n",
"\n",
"\n",
"def forecast_stats_for_lead(da, lead_days):\n",
" \"\"\"Return ensemble mean, min, and max for a selected lead time.\"\"\"\n",
" selected = select_lead_time(da, lead_days)\n",
"\n",
" mean = selected.mean(dim=\"realization\")\n",
" lower = selected.min(dim=\"realization\")\n",
" upper = selected.max(dim=\"realization\")\n",
"\n",
" return use_valid_time_axis(mean), use_valid_time_axis(lower), use_valid_time_axis(upper)\n",
"\n",
"\n",
"def plot_event_forecasts(obs_series, forecast_datasets, period, period_label, lead_times=(1, 5, 10)):\n",
" \"\"\"Plot observed discharge and forecast ensemble summaries for multiple lead times.\"\"\"\n",
" colors = {\n",
" \"raw_raw\": \"tab:blue\",\n",
" \"lin_log\": \"tab:orange\",\n",
" \"qqt_qqt\": \"tab:green\",\n",
" }\n",
"\n",
" fig, axes = plt.subplots(len(lead_times), 1, figsize=(14, 10), sharex=True, sharey=False)\n",
" obs_period = obs_series.sel(time=period)\n",
"\n",
" for ax, lead_days in zip(axes, lead_times):\n",
" obs_period.plot(ax=ax, color=\"black\", linewidth=2, label=\"Observed\")\n",
"\n",
" for name, da in forecast_datasets.items():\n",
" mean, lower, upper = forecast_stats_for_lead(da, lead_days)\n",
" mean_period = mean.sel(time=period)\n",
" lower_period = lower.sel(time=period)\n",
" upper_period = upper.sel(time=period)\n",
"\n",
" color = colors[name]\n",
" ax.fill_between(\n",
" mean_period[\"time\"].values,\n",
" lower_period.values,\n",
" upper_period.values,\n",
" color=color,\n",
" alpha=0.18,\n",
" )\n",
" mean_period.plot(ax=ax, color=color, linewidth=1.8, label=f\"{name} mean\")\n",
"\n",
" ax.set_title(f\"{period_label} | lead time = {lead_days} days\")\n",
" ax.set_ylabel(\"Discharge (m³/s)\")\n",
" ax.grid(True, alpha=0.3)\n",
"\n",
" axes[0].legend(loc=\"upper right\")\n",
" axes[-1].set_xlabel(\"Date\")\n",
"\n",
" plt.suptitle(f\"Observed and forecast discharge at station {example_station}\", y=1.02)\n",
" plt.tight_layout()\n",
" plt.show()\n",
"\n",
"\n",
"year_1995_period = slice(\"1995-01-01\", \"1995-12-31\")\n",
"\n",
"plot_event_forecasts(\n",
" obs_series=obs_series,\n",
" forecast_datasets=forecast_datasets,\n",
" period=year_1995_period,\n",
" period_label=\"1 Jan 1995 to 31 Dec 1995\",\n",
" lead_times=(1, 5, 10),\n",
")"
]
},
{
"cell_type": "markdown",
"id": "85da1b12",
"metadata": {},
"source": [
"### Questions\n",
"\n",
"Use the figures above to reflect on the data before interpreting the verification results.\n",
"\n",
"1. How does discharge vary through 1995?\n",
"2. What does the shaded range around each forecast mean represent?\n",
"3. How does forecast behaviour change with lead time?\n",
"\n",
"\n",
"Show suggested answers\n",
"\n",
"1. Discharge shows variability throughout the year, with exceptionally high peaks in early 1995.\n",
"2. The shaded range shows the minimum-to-maximum range across ensemble members. A wider range indicates greater ensemble spread and forecast uncertainty.\n",
"3. Forecasts generally become less precise and more uncertain at longer lead times. This appear as larger deviations from observations and wider ensemble spread.\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"id": "6b90cb4f",
"metadata": {},
"source": [
"## 7. Before interpreting the verification results\n",
"\n",
"Before looking at the plots, consider the following questions.\n",
"\n",
"1. What do you expect to happen to forecast skill as lead time increases?\n",
"2. Should a good ensemble forecast always have a very small spread?\n",
"3. Why might high-flow/flooding events be harder to forecast than normal-flow conditions?\n",
"4. Which criteria helps assess probabilistic accuracy?\n",
"5. Which metrics/criteria helps assess ensemble spread and reliability?\n",
"\n",
"\n",
"Show suggested answers\n",
"\n",
"1. Forecast skill usually decreases as lead time increases because uncertainty grows further into the future.\n",
"2. No. A good ensemble should have an appropriate spread. If the spread is too small, observations may often fall outside the ensemble range.\n",
"3. High-flow/flooding events are often driven by complex rainfall, snowmelt, catchment storage, and routing processes. Small timing or precipitation errors can produce large discharge errors.\n",
"4. CRPS.\n",
"5. Rank histogram.\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"id": "a4fe3345",
"metadata": {},
"source": [
"## 8. Scatter plots: observed versus forecast discharge\n",
"\n",
"Scatter plots compare forecasted discharge against observed discharge.\n",
"\n",
"- Points close to the **1:1 line** indicate good agreement.\n",
"- Points below the line indicate underestimation.\n",
"- Points above the line indicate overestimation.\n",
"- Increasing spread around the line indicates increasing forecast uncertainty or error.\n",
"\n",
"For readability, we compare the **ensemble mean** with the observations for lead times of 1, 5, and 10 days. This gives a compact overview of forecast behaviour across lead times and forecast datasets."
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "a8bd5e8e",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"selected_leads = [1, 5, 10]\n",
"\n",
"fig, axes = plt.subplots(\n",
" len(selected_leads),\n",
" len(forecast_variants),\n",
" figsize=(12, 10),\n",
" sharex=True,\n",
" sharey=True,\n",
")\n",
"\n",
"axes = np.atleast_2d(axes)\n",
"\n",
"for row, lead_day in enumerate(selected_leads):\n",
" for col, pair_id in enumerate(forecast_variants):\n",
" ds_variant = pair_datasets[pair_id]\n",
"\n",
" obs = ds_variant[\"obs\"].sel(station=example_station)\n",
" forecast = get_forecast_data(pair_id).sel(station=example_station)\n",
"\n",
" obs_lead = use_valid_time_axis(select_lead_time(obs, lead_day))\n",
" forecast_lead = use_valid_time_axis(select_lead_time(forecast, lead_day))\n",
"\n",
" forecast_mean = forecast_lead.mean(dim=\"realization\")\n",
"\n",
" valid = np.isfinite(obs_lead.values) & np.isfinite(forecast_mean.values)\n",
"\n",
" x = obs_lead.values[valid]\n",
" y = forecast_mean.values[valid]\n",
"\n",
" ax = axes[row, col]\n",
" ax.scatter(x, y, s=8, alpha=0.3)\n",
"\n",
" min_val = min(x.min(), y.min())\n",
" max_val = max(x.max(), y.max())\n",
"\n",
" ax.plot(\n",
" [min_val, max_val],\n",
" [min_val, max_val],\n",
" color=\"black\",\n",
" linestyle=\"--\",\n",
" linewidth=1,\n",
" )\n",
"\n",
" ax.set_title(f\"{pair_id} | {lead_day}-day lead\")\n",
" ax.grid(True, alpha=0.3)\n",
"\n",
" if col == 0:\n",
" ax.set_ylabel(\"Forecast discharge (m³/s)\")\n",
"\n",
" if row == len(selected_leads) - 1:\n",
" ax.set_xlabel(\"Observed discharge (m³/s)\")\n",
"\n",
"plt.suptitle(\n",
" f\"Observed vs ensemble-mean forecast discharge at Lobith ({example_station})\",\n",
" y=1.02,\n",
")\n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "b52ca548",
"metadata": {},
"source": [
"### Interpretation: scatter plots\n",
"\n",
"At a **1-day lead time**, all forecast datasets show strong agreement with observations. The points lie close to the 1:1 line, indicating good short-range forecast accuracy.\n",
"\n",
"At a **5-day lead time**, the spread around the 1:1 line increases. This indicates growing uncertainty and decreasing forecast skill. Some high observed discharge values are underestimated, especially during high-flow/flood conditions.\n",
"\n",
"At a **10-day lead time**, the relationship between forecasts and observations becomes weaker. The scatter increases further and high flows are more difficult to predict accurately.\n",
"\n",
"Overall, the scatter plots show that forecast skill decreases with lead time and that forecast errors become larger for high discharge values."
]
},
{
"cell_type": "markdown",
"id": "9defce04",
"metadata": {},
"source": [
"## 9. Continuous Ranked Probability Score (CRPS)\n",
"\n",
"CRPS asseses how well an ensemble forecast matches the observed outcome. It evaluates the full forecast distribution, not just the ensemble mean.\n",
"\n",
"- A CRPS of **0** indicates a perfect forecast.\n",
"- Lower values indicate better probabilistic forecast quality.\n",
"- CRPS increases when forecasts are biased or when the ensemble spread does not adequately represent the observation.\n",
"\n",
"Here we compute the mean CRPS at Lobith as a function of lead time for each forecast dataset."
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "f0022666",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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"\n",
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" \n",
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lead_time_days
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crps
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forecast_dataset
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1.500894
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"text/plain": [
" lead_time_days crps forecast_dataset\n",
"0 1 1.500894 raw_raw\n",
"1 2 7.732856 raw_raw\n",
"2 3 20.205717 raw_raw\n",
"3 4 38.658575 raw_raw\n",
"4 5 62.932173 raw_raw"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"crps_by_variant = {}\n",
"\n",
"for pair_id in forecast_variants:\n",
" ds_variant = pair_datasets[pair_id]\n",
" crps = ds_variant[\"crps_for_ensemble\"].sel(station=example_station)\n",
"\n",
" # Average over forecast reference times to obtain CRPS by lead time.\n",
" crps_mean = crps.mean(dim=\"forecast_reference_time\", skipna=True)\n",
" lead_name = get_lead_coord_name(crps_mean)\n",
"\n",
" lead_values = crps_mean[lead_name].values\n",
" if np.issubdtype(lead_values.dtype, np.timedelta64):\n",
" lead_days = (lead_values / np.timedelta64(1, \"D\")).astype(int)\n",
" else:\n",
" lead_days = lead_values\n",
"\n",
" crps_by_variant[pair_id] = pd.DataFrame(\n",
" {\n",
" \"lead_time_days\": lead_days,\n",
" \"crps\": crps_mean.values,\n",
" \"forecast_dataset\": pair_id,\n",
" }\n",
" )\n",
"\n",
"crps_df = pd.concat(crps_by_variant.values(), ignore_index=True)\n",
"crps_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "794982f4",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=(8, 5))\n",
"\n",
"for pair_id, group in crps_df.groupby(\"forecast_dataset\"):\n",
" ax.plot(\n",
" group[\"lead_time_days\"],\n",
" group[\"crps\"],\n",
" marker=\"o\",\n",
" label=pair_id,\n",
" )\n",
"\n",
"ax.set_title(f\"Mean CRPS by lead time at Lobith ({example_station})\")\n",
"ax.set_xlabel(\"Lead time (days)\")\n",
"ax.set_ylabel(\"Mean CRPS\")\n",
"ax.grid(True, alpha=0.3)\n",
"ax.legend(title=\"Forecast dataset\")\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "070b84b7",
"metadata": {},
"source": [
"### Interpretation: CRPS\n",
"\n",
"The mean CRPS increases steadily with lead time for all forecast datasets. This indicates that probabilistic forecast skill decreases as predictions extend further into the future.\n",
"\n",
"At **short lead times**, all forecast datasets have relatively low CRPS values, indicating good short-term probabilistic performance.\n",
"\n",
"At **longer lead times**, the differences between datasets become clearer. Lower CRPS values indicate better probabilistic forecast quality. In this case, `raw_raw` and `qqt_qqt` remain closer to each other, while `lin_log` shows higher CRPS values at longer lead times.\n",
"\n",
"Overall, the CRPS plot confirms the expected loss of skill with lead time and shows how different post-processing approaches affect probabilistic forecast performance."
]
},
{
"cell_type": "markdown",
"id": "e00b3785",
"metadata": {},
"source": [
"# 10. Rank histograms\n",
"\n",
"Rank histograms evaluate ensemble reliability and spread. They show where observations fall relative to the ordered ensemble members. For a well-calibrated ensemble, the histogram should be roughly uniform.\n",
"\n",
"Common patterns:\n",
"\n",
"- **U-shaped**: ensemble spread is too narrow; observations often fall outside the ensemble range.\n",
"- **Dome-shaped**: ensemble spread is too wide.\n",
"- **Skewed**: forecasts may be biased high or low.\n",
"\n",
"Here we compare rank histograms for the three forecast datasets and selected lead times."
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "536379e1",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"selected_leads = [1, 5, 10]\n",
"\n",
"fig, axes = plt.subplots(\n",
" len(selected_leads),\n",
" len(forecast_variants),\n",
" figsize=(12, 8),\n",
" sharex=True,\n",
" sharey=True,\n",
")\n",
"\n",
"axes = np.atleast_2d(axes)\n",
"\n",
"for row, lead_day in enumerate(selected_leads):\n",
" for col, pair_id in enumerate(forecast_variants):\n",
" ds_variant = pair_datasets[pair_id]\n",
" rank_hist = ds_variant[\"histogram_rank\"].sel(station=example_station)\n",
" hist = select_lead_time(rank_hist, lead_day)\n",
"\n",
" ax = axes[row, col]\n",
" ax.bar(\n",
" hist[\"rank\"].values,\n",
" hist.values.squeeze(),\n",
" width=0.8,\n",
" )\n",
"\n",
" ax.set_title(f\"{pair_id} | {lead_day}-day lead\")\n",
" ax.grid(True, alpha=0.3)\n",
"\n",
" if col == 0:\n",
" ax.set_ylabel(\"Count\")\n",
"\n",
" if row == len(selected_leads) - 1:\n",
" ax.set_xlabel(\"Rank\")\n",
"\n",
"plt.suptitle(f\"Rank histograms at Lobith ({example_station})\", y=1.02)\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "bb51ae82",
"metadata": {},
"source": [
"## Interpretation: rank histograms\n",
"\n",
"The rank histograms show clear differences between the forecast datasets.\n",
"\n",
"The `raw_raw` forecasts show a pronounced **U-shaped** histogram, especially at short lead times. This indicates that observations often fall outside the ensemble range, suggesting that the raw ensemble is **underdispersed**.\n",
"\n",
"The `lin_log` histograms are flatter than those of `raw_raw`, especially at longer lead times. This suggests improved representation of ensemble spread, although some asymmetry remains.\n",
"\n",
"The `qqt_qqt` forecasts also reduce the strong U-shape seen in `raw_raw`. The histograms are still not perfectly uniform, but they suggest improved calibration compared with the raw ensemble.\n",
"\n",
"Across all lead times:\n",
"\n",
"- `raw_raw` remains strongly underdispersed.\n",
"- `lin_log` provides the most uniform and best-calibrated rank histograms.\n",
"- `qqt_qqt` improves calibration relative to `raw_raw`, but still exhibits noticeable underdispersion.\n",
"\n",
"These results highlight that post-processing can substantially improve ensemble reliability, even when forecast accuracy and uncertainty still degrade with increasing lead time."
]
},
{
"cell_type": "markdown",
"id": "90b0df4b",
"metadata": {},
"source": [
"## 10. Bringing the evaluations together\n",
"\n",
"Each metrics/criteria tells us something different:\n",
"\n",
"| Metrics/criteria | Main question | What we learned |\n",
"|---|---|---|\n",
"| Scatter plot | Are forecasts close to observations? | Agreement decreases with lead time, especially for high flows. |\n",
"| CRPS | How good is the full probabilistic forecast? | Probabilistic skill decreases with lead time. |\n",
"| Rank histogram | Is the ensemble spread reliable? | Raw forecasts are underdispersed; post-processing improves calibration. |\n",
"\n",
"These metrics/criteria should be interpreted together. A forecast dataset may perform well according to one metrics/criteria but reveal weaknesses in another."
]
},
{
"cell_type": "markdown",
"id": "382f5ad7",
"metadata": {},
"source": [
"## 11. Reflection questions\n",
"\n",
"1. Why does forecast skill usually decrease with lead time?\n",
"2. Can a forecast have low CRPS but still have a problematic rank histogram?\n",
"3. What does an underdispersed ensemble mean in practice?\n",
"4. Why use multiple metrics/criteria instead of one?\n",
"\n",
"\n",
"Show suggested answers\n",
"\n",
"1. Because uncertainty grows as forecasts extend further into the future. Errors in meteorological inputs, model states, and hydrological processes accumulate over time.\n",
"2. Yes. CRPS summarizes probabilistic quality, while the rank histogram specifically reflects ensemble reliability and spread. A forecast can have reasonable average accuracy but still be underdispersed.\n",
"3. The ensemble spread is too narrow. Observations fall outside the ensemble range more often than expected, meaning forecast uncertainty is underestimated.\n",
"4. Forecast quality has multiple aspects: accuracy, bias, uncertainty, reliability, and behaviour during extremes. No single diagnostic captures everything.\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"id": "f76258fe",
"metadata": {},
"source": [
"## 11. Summary\n",
"\n",
"For the Lobith discharge forecasts:\n",
"\n",
"- Forecast skill decreases with lead time.\n",
"- Forecast errors increase for high-flow events.\n",
"- CRPS confirms the loss of probabilistic forecast skill at longer lead times.\n",
"- Rank histograms show that the raw ensemble is underdispersed.\n",
"- Post-processing improves ensemble reliability, especially in terms of ensemble spread.\n",
"\n",
"Together, these results show why ensemble forecast verification should combine multiple metrics/criteria rather than relying on a single plot or score."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "veriflow",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
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"file_extension": ".py",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
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