update pages

index.html

@@ -198,7 +198,7 @@ <h2 class="anchored" data-anchor-id="why-a-forecasting-challenge">Why a forecast
 <div class="value-box-showcase html-fill-item html-fill-container"><svg xmlns="http://www.w3.org/2000/svg" viewbox="0 0 16 16" class="bi bi-graph-up " style="height:1em;width:1em;fill:currentColor;vertical-align:-0.125em;" aria-hidden="true" role="img"><path fill-rule="evenodd" d="M0 0h1v15h15v1H0V0Zm14.817 3.113a.5.5 0 0 1 .07.704l-4.5 5.5a.5.5 0 0 1-.74.037L7.06 6.767l-3.656 5.027a.5.5 0 0 1-.808-.588l4-5.5a.5.5 0 0 1 .758-.06l2.609 2.61 4.15-5.073a.5.5 0 0 1 .704-.07Z"></path></svg></div>
 <div class="value-box-area html-fill-item html-fill-container">
 <p class="value-box-title">Total forecasts submitted to the NEON Challenge</p>
-<p class="value-box-value">2436</p>
+<p class="value-box-value">2480</p>
 </div>
 </div>
 </div>
@@ -272,7 +272,7 @@ <h2 class="anchored" data-anchor-id="contact">Contact</h2>
 </section>
 <section id="acknowledgements" class="level2">
 <h2 class="anchored" data-anchor-id="acknowledgements">Acknowledgements</h2>
-<p>Thomas, R. Q., Boettiger, C., Carey, C. C., Dietze, M. C., Johnson, L. R., Kenney, M. A., et al.&nbsp;(2023). The NEON Ecological Forecasting Challenge. Frontiers in Ecology and the Environment, 21(3), 112–113. <a href="https://doi.org/10.1002/fee.2616">https://doi.org/10.1002/fee.2616</a> <br> <br> 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. <br> <br> Page last updated on 2023-12-17</p>
+<p>Thomas, R. Q., Boettiger, C., Carey, C. C., Dietze, M. C., Johnson, L. R., Kenney, M. A., et al.&nbsp;(2023). The NEON Ecological Forecasting Challenge. Frontiers in Ecology and the Environment, 21(3), 112–113. <a href="https://doi.org/10.1002/fee.2616">https://doi.org/10.1002/fee.2616</a> <br> <br> 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. <br> <br> Page last updated on 2023-12-18</p>
 
 
 </section>

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\n2436\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nMost recent data for model training\n2023-12-15\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nNumber of years of data for model training\n10.46\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\n2480\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nMost recent data for model training\n2023-12-15\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nNumber of years of data for model training\n10.46\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nNumber of variables being forecasted\n10"
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     "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 2023-12-17"
+    "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 2023-12-18"
   },
   {
     "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 2023-12-16\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 2023-12-17\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"
   },
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     "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 2022-12-17.\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 2022-12-18.\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",

sitemap.xml

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    <url>
       <loc>https://projects.ecoforecast.org/neon4cast-ci/targets.html</loc>
-      <lastmod>2023-12-16</lastmod>
+      <lastmod>2023-12-17</lastmod>
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    <url>
       <loc>https://projects.ecoforecast.org/neon4cast-ci/instructions.html</loc>
-      <lastmod>2023-12-16</lastmod>
+      <lastmod>2023-12-17</lastmod>
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    <url>
       <loc>https://projects.ecoforecast.org/neon4cast-ci/performance.html</loc>
-      <lastmod>2023-12-16</lastmod>
+      <lastmod>2023-12-17</lastmod>
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       <loc>https://projects.ecoforecast.org/neon4cast-ci/index.html</loc>
-      <lastmod>2023-12-16</lastmod>
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