From 80b1585f865d2161b477f54c4c21797b8870c1ff Mon Sep 17 00:00:00 2001 From: github-actions Date: Wed, 27 Dec 2023 06:42:08 +0000 Subject: [PATCH] update pages --- index.html | 8 +- performance.html | 120 +++++++++--------- search.json | 8 +- sitemap.xml | 10 +- targets.html | 4 +- .../figure-html/unnamed-chunk-21-1.png | Bin 128173 -> 128144 bytes 6 files changed, 75 insertions(+), 75 deletions(-) diff --git a/index.html b/index.html index 14602aaaa0..0e742ddb48 100644 --- a/index.html +++ b/index.html @@ -198,7 +198,7 @@

Why a forecast

Total forecasts submitted to the NEON Challenge

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2836

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2881

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Why a forecast

Most recent data for model training

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2023-12-23
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2023-12-25
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Why a forecast

Number of years of data for model training

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10.48

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10.49

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Contact

Acknowledgements

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Thomas, R. Q., Boettiger, C., Carey, C. C., Dietze, M. C., Johnson, L. R., Kenney, M. A., et al. (2023). The NEON Ecological Forecasting Challenge. Frontiers in Ecology and the Environment, 21(3), 112–113. https://doi.org/10.1002/fee.2616

We thank NEON for providing the freely available data and the EFI community for feedback on the design of the Challenge. This material is based upon work supported by the National Science Foundation under Grant DEB-1926388.

Page last updated on 2023-12-26

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Thomas, R. Q., Boettiger, C., Carey, C. C., Dietze, M. C., Johnson, L. R., Kenney, M. A., et al. (2023). The NEON Ecological Forecasting Challenge. Frontiers in Ecology and the Environment, 21(3), 112–113. https://doi.org/10.1002/fee.2616

We thank NEON for providing the freely available data and the EFI community for feedback on the design of the Challenge. This material is based upon work supported by the National Science Foundation under Grant DEB-1926388.

Page last updated on 2023-12-27

diff --git a/performance.html b/performance.html index 0f5b05787e..46588e8c90 100644 --- a/performance.html +++ b/performance.html @@ -185,7 +185,7 @@

On this page

Most recent forecasts

Only the top performing models from the last 30 days are shown.

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Forecasts submitted on 2023-12-25

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Forecasts submitted on 2023-12-26

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Most recent forecasts

Forecast summaries are available here

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Most recent forecasts

Forecast summaries are available here

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Most recent forecasts

Forecast summaries are available here

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Most recent forecasts

Forecast summaries are available here

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Most recent forecasts

Forecast summaries are available here

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Most recent forecasts

Forecast summaries are available here

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Most recent forecasts

Forecast summaries are available here

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Most recent forecasts

Forecast summaries are available here

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Most recent forecasts

Forecast summaries are available here

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Forecast analysis

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Aggregated scores

Scores are shown by reference date and forecast horizon (in days).

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Scores are averaged across all submissions of the model with a given horizon or a given reference_datetime using submissions made since 2022-12-26.
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Scores are averaged across all submissions of the model with a given horizon or a given reference_datetime using submissions made since 2022-12-27.

Learn about the continous ranked probablity score here

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Aggregated scores

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diff --git a/search.json b/search.json index f1be9bd0b0..8c5c9d9cbc 100644 --- a/search.json +++ b/search.json @@ -109,7 +109,7 @@ "href": "index.html#why-a-forecasting-challenge", "title": "Forecasting Challenge", "section": "Why a forecasting challenge?", - "text": "Why a forecasting challenge?\nOur vision is to use forecasts to advance theory and to support natural resource management. We can begin to realize this vision by creating and analyzing a catalog of forecasts from a range of ecological systems, spatiotemporal scales, and environmental gradients.\nOur forecasting challenge is platform for the ecological and data science communities to advance skills in forecasting ecological systems and for generating forecasts that contribute to a synthetic understanding of patterns of predictability in ecology. Rewards for contributing are skill advancement, joy, and potential involved in manuscripts. We do not currently crown winner nor offer financial awards.\nThe Challenge is an excellent focal project in university courses.\n \n\n\n\n\n\n\n\n\n\nTotal forecasts submitted to the NEON Challenge\n2836\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nMost recent data for model training\n2023-12-23\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nNumber of years of data for model training\n10.48\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nNumber of variables being forecasted\n10" + "text": "Why a forecasting challenge?\nOur vision is to use forecasts to advance theory and to support natural resource management. We can begin to realize this vision by creating and analyzing a catalog of forecasts from a range of ecological systems, spatiotemporal scales, and environmental gradients.\nOur forecasting challenge is platform for the ecological and data science communities to advance skills in forecasting ecological systems and for generating forecasts that contribute to a synthetic understanding of patterns of predictability in ecology. Rewards for contributing are skill advancement, joy, and potential involved in manuscripts. We do not currently crown winner nor offer financial awards.\nThe Challenge is an excellent focal project in university courses.\n \n\n\n\n\n\n\n\n\n\nTotal forecasts submitted to the NEON Challenge\n2881\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nMost recent data for model training\n2023-12-25\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nNumber of years of data for model training\n10.49\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nNumber of variables being forecasted\n10" }, { "objectID": "index.html#the-challenge-is-a-platform", @@ -130,7 +130,7 @@ "href": "index.html#acknowledgements", "title": "Forecasting Challenge", "section": "Acknowledgements", - "text": "Acknowledgements\nThomas, R. Q., Boettiger, C., Carey, C. C., Dietze, M. C., Johnson, L. R., Kenney, M. A., et al. (2023). The NEON Ecological Forecasting Challenge. Frontiers in Ecology and the Environment, 21(3), 112–113. https://doi.org/10.1002/fee.2616 We thank NEON for providing the freely available data and the EFI community for feedback on the design of the Challenge. This material is based upon work supported by the National Science Foundation under Grant DEB-1926388. Page last updated on 2023-12-26" + "text": "Acknowledgements\nThomas, R. Q., Boettiger, C., Carey, C. C., Dietze, M. C., Johnson, L. R., Kenney, M. A., et al. (2023). The NEON Ecological Forecasting Challenge. Frontiers in Ecology and the Environment, 21(3), 112–113. https://doi.org/10.1002/fee.2616 We thank NEON for providing the freely available data and the EFI community for feedback on the design of the Challenge. This material is based upon work supported by the National Science Foundation under Grant DEB-1926388. Page last updated on 2023-12-27" }, { "objectID": "catalog.html", @@ -165,7 +165,7 @@ "href": "performance.html#sec-performance", "title": "Forecast performance", "section": "Most recent forecasts", - "text": "Most recent forecasts\nOnly the top performing models from the last 30 days are shown.\nForecasts submitted on 2023-12-25\n\nTerrestrial: Net Ecosystem ExchangeTerrestrial: Latent Heat FluxPhenology: GreenessPhenology: RednessAquatics: water temperatureAquatics: dissolved oxygenAquatics: Chlorophyll-aBeetle community richnessBeetle community abundanceTicks: Amblyomma americanum\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\nNULL\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here" + "text": "Most recent forecasts\nOnly the top performing models from the last 30 days are shown.\nForecasts submitted on 2023-12-26\n\nTerrestrial: Net Ecosystem ExchangeTerrestrial: Latent Heat FluxPhenology: GreenessPhenology: RednessAquatics: water temperatureAquatics: dissolved oxygenAquatics: Chlorophyll-aBeetle community richnessBeetle community abundanceTicks: Amblyomma americanum\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\nNULL\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here" }, { "objectID": "performance.html#forecast-analysis", @@ -179,7 +179,7 @@ "href": "performance.html#aggregated-scores", "title": "Forecast performance", "section": "Aggregated scores", - "text": "Aggregated scores\nAverage skill scores of each model across all sites.\n\nScores are shown by reference date and forecast horizon (in days).\n\nScores are averaged across all submissions of the model with a given horizon or a given reference_datetime using submissions made since 2022-12-26.\n\nLearn about the continous ranked probablity score here\n\nTerrestrial: Net Ecosystem ExchangeTerrestrial: Latent Heat FluxPhenology: GreenessPhenology: RednessAquatics: water temperatureAquatics: dissolved oxygenAquatics: chrophyll-aBeetle community richnessBeetle community abundanceTicks: Amblyomma americanum" + "text": "Aggregated scores\nAverage skill scores of each model across all sites.\n\nScores are shown by reference date and forecast horizon (in days).\n\nScores are averaged across all submissions of the model with a given horizon or a given reference_datetime using submissions made since 2022-12-27.\n\nLearn about the continous ranked probablity score here\n\nTerrestrial: Net Ecosystem ExchangeTerrestrial: Latent Heat FluxPhenology: GreenessPhenology: RednessAquatics: water temperatureAquatics: dissolved oxygenAquatics: chrophyll-aBeetle community richnessBeetle community abundanceTicks: Amblyomma americanum" }, { "objectID": "learn-more.html", diff --git a/sitemap.xml b/sitemap.xml index 9e033b1c43..262dbe39d1 100644 --- a/sitemap.xml +++ b/sitemap.xml @@ -2,23 +2,23 @@ https://projects.ecoforecast.org/neon4cast-ci/catalog.html - 2023-12-25 + 2023-12-26 https://projects.ecoforecast.org/neon4cast-ci/targets.html - 2023-12-25 + 2023-12-26 https://projects.ecoforecast.org/neon4cast-ci/instructions.html - 2023-12-25 + 2023-12-26 https://projects.ecoforecast.org/neon4cast-ci/performance.html - 2023-12-25 + 2023-12-26 https://projects.ecoforecast.org/neon4cast-ci/index.html - 2023-12-25 + 2023-12-26 https://radiantearth.github.io/stac-browser/#/external/raw.githubusercontent.com/eco4cast/neon4cast-ci/main/catalog/catalog.json diff --git a/targets.html b/targets.html index 3d971286c6..bc3054a08e 100644 --- a/targets.html +++ b/targets.html @@ -969,8 +969,8 @@

30 minute

Explore the sites

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The following table lists all the sites in the NEON Ecological Forecasting Challenge. The columns with “theme” names incidate whether that site is included in that theme’s target file.

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