Accessing Data section updated #2
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WalkthroughThe pull request includes extensive updates to three documentation files: Changes
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🧹 Outside diff range and nitpick comments (8)
docs/accessing-data.md (2)
48-62: LGTM! Comprehensive overview of the API capabilities.The "Programmatic Access" section provides a clear and informative overview of the GEOGLOWS ECMWF Streamflow Service's REST API. The content is well-structured and includes valuable information about the API's capabilities, coverage, and available resources.
For consistency, consider adding a brief introduction sentence at the beginning of the section, similar to other sections in the document. For example:
## Programmatic Access The GEOGLOWS ECMWF Streamflow Service offers programmatic access to streamflow data, enabling users to integrate global hydrological data into their applications efficiently. The GEOGLOWS ECMWF Streamflow Service offers programmatic access to streamflow data through a REST API, making it easy for users to integrate global hydrological data into their applications. By using this API, developers and researchers can retrieve historical ...🧰 Tools
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[uncategorized] ~60-~60: A punctuation mark might be missing here.
Context: ...] [Programmatic Access Presentation][2] [Programmatic Access Colab][3] [1]: h...(AI_EN_LECTOR_MISSING_PUNCTUATION)
69-88: LGTM! Clear explanation of AWS data access.The "Data Download Directly from AWS" section provides a comprehensive overview of the GEOGLOWS Hydrological Model Version 2 and the available data. The content is well-structured and includes valuable information about data types, time spans, and access methods.
For consistency, consider using either "analyze" or "analyse" throughout the document. In the last sentence, you could revise it as follows:
- These resources make it easy for researchers and developers to - integrate GEOGLOWS data into their own applications and analyses. + These resources make it easy for researchers and developers to + integrate GEOGLOWS data into their own applications and analyses.Choose either "analyze" or "analyse" based on your preferred spelling convention (American or British English) and use it consistently throughout the document.
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[uncategorized] ~88-~88: Do not mix variants of the same word (‘analyse’ and ‘analyze’) within a single text.
Context: ...WS data into their own applications and analyses.(EN_WORD_COHERENCY)
docs/retrospective.md (6)
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3-15: LGTM! Consider adding brief summaries for external resources.The new "Derivation" section provides valuable resources for understanding GEOGLOWS data. However, to improve resilience against potential link rot, consider adding brief summaries or key takeaways from the presentation and tutorial directly in the document.
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16-45: Great additions! Consider clarifying technical terms.The expanded "Historical Validation" section provides valuable guidance on validation processes. To further improve accessibility:
- Consider adding brief explanations for technical terms like "ERA-5 reanalysis", "HTESSEL model", and "RAPID model".
- It might be helpful to include a brief overview of what Hydrostats is and why it's particularly useful for hydrologic model evaluation.
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24-24: Address the missing presentation link.The comment indicates that a presentation link is no longer found. Please remove the comment and either:
- Update the link to the correct presentation, or
- Remove the reference to the presentation if it's no longer available.
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46-54: LGTM! Consider adding data format examples.The "Obtain Data" section provides clear instructions for obtaining both observed and simulated data. To further enhance user understanding:
- Consider adding small code snippets showing the expected format of both the observed and simulated data CSVs.
- It might be helpful to mention the expected file size or download time for the historical simulation data, as it "may take a few minutes".
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63-63: The "Preprocessing" section is empty.The "Preprocessing" section currently contains no content. Please either:
- Add the relevant preprocessing information, or
- Remove the section if it's not needed at this time.
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67-103: Great addition! Consider expanding the explanation as noted.The new "Bias Correction" section provides a valuable introduction to the concept and its importance in the context of the GEOGLOWS model. To further improve this section:
- As noted in the comment, consider expanding the explanation of the bias correction method. This could include:
- A step-by-step breakdown of the process
- A visual representation of flow duration curves and how they're used in the correction
- Examples of how this correction impacts the model's predictions
- Provide a brief overview of what users can expect to find in the linked presentation and Google Colab notebook.
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docs/accessing-data.md
[uncategorized] ~60-~60: A punctuation mark might be missing here.
Context: ...] [Programmatic Access Presentation][2] [Programmatic Access Colab][3] [1]: h...(AI_EN_LECTOR_MISSING_PUNCTUATION)
[uncategorized] ~88-~88: Do not mix variants of the same word (‘analyse’ and ‘analyze’) within a single text.
Context: ...WS data into their own applications and analyses.(EN_WORD_COHERENCY)
🔇 Additional comments (2)
docs/accessing-data.md (1)
60-61: No action needed for link formatting.The current formatting of the links is appropriate for Markdown. Adding punctuation between the links is not necessary and may affect the rendering of the document.
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[uncategorized] ~60-~60: A punctuation mark might be missing here.
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docs/retrospective.md (1)
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55-62: LGTM! Clear instructions for accessing the Hydrostats App.The instructions for accessing and logging into the Hydrostats App are clear and concise. Good job including the demo account credentials.
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🧹 Outside diff range and nitpick comments (8)
docs/accessing-data.md (3)
45-45: Consider relocating the image referenceThe image reference
appears to be misplaced. It's currently positioned between the Hydroviewer App section and the Rest API Access section. Consider moving this image reference to a more appropriate location within the document, possibly within the Hydroviewer App section if it's related to that content.
50-69: Excellent update to the Rest API Access section!The renaming of this section from "Programmatic Access" to "Rest API Access" improves clarity. The added detailed information about the GEOGLOWS ECMWF Streamflow Service's REST API, including its capabilities and data coverage, is very informative. The inclusion of links to API documentation and additional resources (presentations and Colab notebooks) is particularly helpful for users.
To further enhance this section, consider adding a brief code snippet demonstrating a basic API call. This would provide users with a quick start example.
74-93: Great addition of the AWS Buckets section!The new AWS Buckets section provides valuable information about accessing GEOGLOWS data directly from AWS S3. The inclusion of links to Colab notebooks for accessing both retrospective and forecast data is particularly helpful for users who want to get started quickly.
One minor suggestion:
For consistency, consider changing "analyses" to "analyses" in the last line:
-AWS data into their own applications and analyses. +AWS data into their own applications and analyses.This ensures consistency with American English spelling used throughout the document.
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[uncategorized] ~93-~93: Do not mix variants of the same word (‘analyse’ and ‘analyze’) within a single text.
Context: ...WS data into their own applications and analyses.(EN_WORD_COHERENCY)
docs/overview.md (1)
86-86: Minor formatting issue: Incorrect list indentationThe unordered list item on this line is indented with 2 spaces instead of the expected 0 spaces.
To fix this, please remove the leading spaces from the line:
- * The GEOGLOWS ECMWF Streamflow Model can be easily explored +* The GEOGLOWS ECMWF Streamflow Model can be easily explored🧰 Tools
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docs/retrospective.md (4)
1-17: Excellent introduction and overview of retrospective data.The new title and introduction provide a clear and comprehensive overview of the retrospective data in the GEOGLOWS Model. The information about model versions and data coverage is valuable for users.
Consider adding a brief sentence explaining the significance of ERA5 reanalysis data for readers who may not be familiar with it.
17-51: Comprehensive explanation of hydrological analysis techniques with interactive learning.The detailed explanations of return periods, flow duration curves, and seasonal analyses provide excellent context for users. The inclusion of interactive Google Colab notebooks is a great addition for hands-on learning.
For consistency, consider:
- Renaming the second interactive learning section (line 43) to "Interactive Learning - Retrospective Simulation" to match the format of the first one.
- Ensuring that the titles of the Colab notebooks in the text match their actual titles in the links.
72-88: Clear explanation of validation process and results.The section provides a comprehensive overview of the validation criteria and methods used for the GEOGLOWS Model. The introduction of the Kling-Gupta Efficiency (KGE) metric is well-explained.
Consider adding captions or brief explanations for the two images (lines 86-87) to help readers understand what they represent in the context of the validation results.
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[style] ~78-~78: As a shorter alternative for ‘able to’, consider using “can now”.
Context: ... simulation back to January 1, 1940, we are now able to include a larger set of stations for va...(BE_ABLE_TO)
1-137: Well-structured document with valuable interactive components.The overall structure and formatting of the document are excellent. The use of clear headings, subheadings, and interactive learning components greatly enhances the educational value of the content.
Consider the following improvements for consistency and clarity:
- Add captions to all images throughout the document to provide context and explain their significance.
- Ensure consistent formatting for interactive learning sections (e.g., "Interactive Learning - [Topic]").
- Review the document for any remaining grammatical issues or incomplete sentences.
- Consider adding a brief conclusion or summary section at the end of the document to reinforce key points.
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[style] ~78-~78: As a shorter alternative for ‘able to’, consider using “can now”.
Context: ... simulation back to January 1, 1940, we are now able to include a larger set of stations for va...(BE_ABLE_TO)
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[uncategorized] ~124-~124: This verb does not appear to agree with the subject. Consider using a different form.
Context: ...calar flow duration curve (SFDC). SABER allow the bias correction process to extend ...(AI_EN_LECTOR_REPLACEMENT_VERB_AGREEMENT)
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docs/accessing-data.md
[uncategorized] ~93-~93: Do not mix variants of the same word (‘analyse’ and ‘analyze’) within a single text.
Context: ...WS data into their own applications and analyses.(EN_WORD_COHERENCY)
docs/retrospective.md
[style] ~78-~78: As a shorter alternative for ‘able to’, consider using “can now”.
Context: ... simulation back to January 1, 1940, we are now able to include a larger set of stations for va...(BE_ABLE_TO)
[uncategorized] ~124-~124: Possible missing article found.
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Context: ...calar flow duration curve (SFDC). SABER allow the bias correction process to extend ...(AI_EN_LECTOR_REPLACEMENT_VERB_AGREEMENT)
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🔇 Additional comments (10)
docs/accessing-data.md (3)
1-5: Great addition of an introductory section!The new introduction provides a clear and concise overview of the types of data (Forecast, Retrospective, and GIS/Model Data) and access methods (web app, REST API, and AWS storage buckets) available through GEOGLOWS. This addition enhances the document's structure and helps users quickly understand what to expect from the rest of the content.
43-48: Excellent updates to the Hydroviewer App section!The addition of the direct link to the GEOGLOWS HydroViewer (https://hydroviewer.geoglows.org/) and the inclusion of a tutorial link enhance the usability of this section. These changes make it easier for users to access the app and learn how to use it effectively.
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1-93: Overall excellent improvements to the documentation!The changes made to this document significantly enhance its clarity, structure, and informativeness. The addition of the new introductory section, the renaming and expansion of the Rest API Access section, and the introduction of the AWS Buckets section provide users with a comprehensive overview of GEOGLOWS data access methods.
The inclusion of links to external resources, such as the Hydroviewer app, API documentation, and Colab notebooks, greatly improves the document's practical value for users. These changes will help users better understand and utilize GEOGLOWS data in their projects.
Great job on these updates!
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[uncategorized] ~93-~93: Do not mix variants of the same word (‘analyse’ and ‘analyze’) within a single text.
Context: ...WS data into their own applications and analyses.(EN_WORD_COHERENCY)
docs/overview.md (6)
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1-25: Excellent enhancement to the Overview section!The expanded overview provides a comprehensive introduction to GEOGLOWS, effectively communicating its purpose, methodology, and global impact. The added details about leveraging Earth observations, numerical weather predictions, and supercomputing enhance the reader's understanding of the initiative's scope and significance.
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27-55: Great improvement to the History section!The expanded history section now provides a comprehensive timeline of GEOGLOWS' evolution, including key milestones, partnerships, and technological advancements. This additional context helps readers better understand the initiative's growth and its increasing global impact since its inception in 2014.
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57-67: Excellent elaboration on the Model Formulation!The expanded section now provides a more comprehensive and technical description of the GEOGLOWS model. The inclusion of specific details about HTESSEL, the ECMWF Integrated Forecast System, spatial resolutions, and the Muskingum routing method significantly enhances the reader's understanding of the model's complexity and capabilities.
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69-121: Excellent restructuring and expansion of the Understanding GEOGLOWS Data section!The addition of subsections for Hydrofabric, Map, Retrospective Data, and Forecasts greatly improves the organization and depth of information. Each subsection provides valuable insights into different aspects of GEOGLOWS data, enhancing the reader's understanding of the system's capabilities and outputs.
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123-149: Great improvements to the Stories of Application and Joining GEOGLOWS sections!The expanded "Stories of Application" section now provides more concrete examples of GEOGLOWS' real-world impact, which helps to illustrate the initiative's value. The addition of the link to GEOGLOWS Stories is an excellent way to direct readers to more detailed case studies.
The restructured "Joining GEOGLOWS" section is much more engaging and provides a clear call-to-action for readers interested in becoming part of the GEOGLOWS community. The addition of the Google Group link makes it easy for potential members to get involved.
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1-149: Overall excellent improvements to the GEOGLOWS overview document!This update significantly enhances the clarity, structure, and depth of information provided about the GEOGLOWS initiative. The expanded sections offer a more comprehensive understanding of GEOGLOWS' history, model formulation, data interpretation, and real-world applications. These changes will greatly benefit readers in grasping the full scope and impact of the GEOGLOWS project.
A minor formatting issue was noted and can be easily addressed, but it doesn't detract from the overall quality of the document. Great work on this update!
docs/retrospective.md (1)
53-70: Comprehensive overview of observed data sources and management.This section provides valuable information about the sources of observed discharge data and introduces the HydroServer platform for data management. The inclusion of links to HydroServer and the presentation enhances the usefulness of this section.
| ## Bias Correction | ||
| The validation results underscore the importance of ongoing model evaluation | ||
| and improvement to enhance the performance of the GEOGLOWS Model. | ||
| Consistently addressing bias, variability, and correlation across | ||
| different regions is crucial for improving the accuracy and reliability | ||
| of hydrological simulations. The GEOGLOWS Hydrologic Model exhibits biases | ||
| that can limit its precision, prompting the development of a bias correction approach. | ||
| To correct these systematic biases at instrumented locations, we | ||
| propose the Monthly Flow Duration Curve Quantile-Mapping (MFDC-QM) method. | ||
| This method targets biases related to flow variability and correlation. After | ||
| applying the bias correction, we observed a significant improvement in the | ||
| distribution of bias and variability ratios, with a slight improvement in | ||
| correlation values as well across the stations, resulting in more reliable | ||
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| [Bias Correction Presentation](https://drive.google.com/file/d/1-EEdEoYKmAD7dgyPqN8fH42xiCcRuDmx/view?usp=sharing) | ||
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| ### Interactive Learning- Bias Correction | ||
| To dive deeper into the analysis of bias correction and performance evaluation, | ||
| we have prepared an interactive Google Colab notebook. This notebook provides | ||
| step-by-step guidance for conducting these analyses using real-world data from | ||
| the Magdalena River at El Banco in Colombia. It covers both bias correction | ||
| and performance evaluation, allowing you to engage with the data and methods | ||
| discussed in this guide: | ||
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| [Bias Correction Colab Notebook](https://colab.research.google.com/drive/1lGdk9oQRSPMjrL07Yeqb-i_IKRO7zHqk?usp=sharing) |
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Informative explanation of bias correction with visual and interactive components.
The introduction of the Monthly Flow Duration Curve Quantile-Mapping (MFDC-QM) method and the presentation of bias correction results are well-explained. The inclusion of images and an interactive Google Colab notebook greatly enhances this section.
There's an incomplete sentence on line 102. Please complete or remove this sentence for clarity.
Consider adding captions to the images (lines 103-105) to provide context and explain what they represent in terms of bias correction results.
| ## SABER (Stream Analysis for Bias Estimation and Reduction) | ||
| SABER method is a bias correction tool designed for large hydrologic models like GEOGLOWS, | ||
| specifically addressing the issue of model biases in both gauged and ungauged river basins. | ||
| SABER uses flow duration curves (FDC) to compare the observed discharge with the simulated values | ||
| from hydrologic models, identifying and correcting biases. For ungauged locations, where direct | ||
| observations are unavailable, SABER uses scalar flow duration curve (SFDC). SABER allow the bias | ||
| correction process to extend to ungauged basins by analyzing similar watershed behaviors based on | ||
| spatial proximity and clustering of flow regimes. This method is particularly useful for regions | ||
| where data scarcity limits traditional calibration, such as in global models like GEOGloWS, ensuring | ||
| more accurate discharge forecasts across large spatial domains. | ||
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| SABER works by comparing simulated discharge data to observed values at gauged locations | ||
| to detect high or low biases. It applies machine learning clustering techniques to group | ||
| watersheds with similar flow characteristics, helping to extend bias correction from gauged to | ||
| ungauged basins. SABER's process includes calculating SFDCs for different exceedance probabilities, | ||
| dividing the simulated flows by the corresponding SFDC values, even in regions affected by dams | ||
| or reservoirs. | ||
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Comprehensive introduction to the SABER method.
The explanation of the SABER (Stream Analysis for Bias Estimation and Reduction) method is thorough and informative, particularly its application to both gauged and ungauged basins.
Please address the following grammatical issues:
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Line 124: Change "SABER allow" to "SABER allows".
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Line 124: Add "a" before "scalar flow duration curve (SFDC)".
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Consider adding a caption to the image on line 137 to explain what it represents in the context of the SABER method.
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The last paragraph (lines 130-135) could benefit from being split into shorter sentences for improved readability.
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[uncategorized] ~124-~124: Possible missing article found.
Context: ...bservations are unavailable, SABER uses scalar flow duration curve (SFDC). SABER allow...(AI_HYDRA_LEO_MISSING_THE)
[uncategorized] ~124-~124: This verb does not appear to agree with the subject. Consider using a different form.
Context: ...calar flow duration curve (SFDC). SABER allow the bias correction process to extend ...(AI_EN_LECTOR_REPLACEMENT_VERB_AGREEMENT)
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🧹 Outside diff range and nitpick comments (2)
docs/forecast.md (2)
13-14: Enhance image accessibility and context.While the image inclusion syntax is correct, consider the following improvements:
- Add descriptive alt text for accessibility.
- Use a more meaningful filename that reflects the image content.
Here's a suggested improvement:
- +This change will improve accessibility for screen readers and provide better context about the image content.
15-21: Approve content with a minor style suggestion.The description of forecast plots is informative and well-structured. It effectively explains how to interpret the plots and understand the probability distribution represented by the ensemble members.
Consider this minor style improvement suggested by the static analysis tool:
-These statistics give insight into the potential variability of future streamflows. +These statistics provide insight into the potential variability of future streamflows.This change strengthens the writing by using a more precise verb.
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[style] ~19-~19: Try using a synonym here to strengthen your writing.
Context: ...the ensemble members. These statistics give insight into the potential variability ...(GIVE_PROVIDE)
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[style] ~19-~19: Try using a synonym here to strengthen your writing.
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docs/forecast.md (2)
3-11: LGTM: Clear and informative introduction to the forecast system.The introduction provides a comprehensive overview of the GEOGLOWS model's ensemble streamflow forecasts. It clearly outlines the number of ensemble members, their resolutions, and forecast horizons. This information is crucial for users to understand the nature and capabilities of the forecasting system.
1-21: Overall, excellent documentation update.The changes to this file significantly improve the documentation on GEOGLOWS forecast data. The content is well-structured, informative, and provides valuable insights into the ensemble streamflow forecasts. The minor suggestions for improvement (image accessibility and word choice) will further enhance the quality of this documentation.
Great job on this update!
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[style] ~19-~19: Try using a synonym here to strengthen your writing.
Context: ...the ensemble members. These statistics give insight into the potential variability ...(GIVE_PROVIDE)
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docs/forecast.md (4)
3-22: Excellent introduction to ensemble forecasts!The explanation of the GEOGLOWS model's ensemble streamflow forecasts is clear, detailed, and informative. It provides valuable insights into the forecast structure, including the number of ensemble members, forecast horizons, and time resolutions.
Consider rephrasing the sentence on line 19-20 to avoid repetition:
- These statistics give insight into the potential - variability of future streamflows. This allows users to gauge the - likelihood of different flow scenarios. + These statistics provide insight into the potential + variability of future streamflows, allowing users to gauge the + likelihood of different flow scenarios.🧰 Tools
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[style] ~19-~19: Try using a synonym here to strengthen your writing.
Context: ...the ensemble members. These statistics give insight into the potential variability ...(GIVE_PROVIDE)
25-33: Great explanation of additional forecast plot elements!This section effectively expands on the interpretation of forecast plots, providing valuable information about additional statistics that may be included. The emphasis on the usefulness of these plots for decision-making in various contexts is appropriate and helpful.
Consider adding a brief explanation of why the high-resolution member is specifically mentioned. For example:
In some cases, the plot may also include mean, minimum and maximum flow values, as well as the high-resolution member, offering a -comprehensive understanding of the forecast. This statistical +comprehensive understanding of the forecast. The high-resolution member +is particularly useful for short-term, detailed predictions. This statistical breakdown allows users to assess the likelihood of various flow scenarios, making it a valuable tool for making informed decisions related to water resource management, flood forecasting, disaster preparedness, and risk mitigation.
35-43: Excellent inclusion of external resources!The addition of links to a presentation and a Colab notebook provides valuable resources for users who want to explore the topic in more depth. The brief descriptions effectively communicate the content and utility of these resources.
For consistency in formatting, consider adjusting the link text for the Colab notebook:
-[Forecast Simulation Colab](https://colab.research.google.com/drive/1JFBpIBZBXwAk9Q_mLhNgoOiv11pbSlNn?usp=sharing) +[Forecast Data Visualization Colab](https://colab.research.google.com/drive/1JFBpIBZBXwAk9Q_mLhNgoOiv11pbSlNn?usp=sharing)This change aligns the link text more closely with the description provided and matches the style of the presentation link above.
45-74: Comprehensive explanation of Forecast Bias Correction!This section provides a clear and informative explanation of the bias correction process used in the GEOGLOWS model. The inclusion of methodology, limitations, and visual aids enhances user understanding. The additional resources (presentation and Colab notebook) offer valuable hands-on experience for users interested in applying these techniques.
- Add a missing comma in line 51:
duration curve and then replacing the forecasted values with corresponding +duration curve, and then replacing the forecasted values with corresponding
- Consider adding a brief explanation of why bias correction is important. For example, after line 52, you could add:
values from the observed flow duration curve. +This bias correction is crucial for improving the accuracy and reliability +of the forecasts, especially in regions where the model may have systematic +biases due to local conditions or data limitations. This method helps improve forecast accuracy, particularly during earlier forecast lead times, aligning the data more closely with historical observations. However, improvements are limited by the assumption that the biases in forecast data are identical to those in the retrospective simulation.This addition would help users understand the significance of the bias correction process in the overall forecasting system.
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[uncategorized] ~51-~51: Possible missing comma found.
Context: ... historical simulation's flow duration curve and then replacing the forecasted value...(AI_HYDRA_LEO_MISSING_COMMA)
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docs/forecast.md
[style] ~19-~19: Try using a synonym here to strengthen your writing.
Context: ...the ensemble members. These statistics give insight into the potential variability ...(GIVE_PROVIDE)
[uncategorized] ~51-~51: Possible missing comma found.
Context: ... historical simulation's flow duration curve and then replacing the forecasted value...(AI_HYDRA_LEO_MISSING_COMMA)
Summary by CodeRabbit
accessing-data.mddocument.forecast.mdto introduce ensemble streamflow forecasts, emphasizing probabilistic outcomes and forecast plots.overview.mddocument, emphasizing the goals and contributions of the GEOGLOWS initiative.retrospective.mdto focus on retrospective data and validation processes, including new interactive learning components and bias correction methods.