
Huw Lewis developed and maintained core data processing and visualization workflows for the MetOffice/CSET repository, focusing on geospatial analysis, time-series aggregation, and robust plotting pipelines. He engineered unified spatial map rendering for rotated and non-rotated grids, improved coordinate handling, and expanded test coverage for edge cases such as dateline wrapping and global cube visualization. Using Python, Cartopy, and Matplotlib, Huw refactored plotting routines, streamlined configuration management, and enhanced workflow automation. His work addressed reliability, maintainability, and clarity in scientific outputs, resulting in more accurate, reproducible visualizations and data products that support climate analytics and operational decision-making.

Month 2025-08 highlights: Delivered a major enhancement to spatial visualization in MetOffice/CSET by unifying spatial map setup for rotated and non-rotated grids, improving coastline rendering, extents handling, and figure-based plotting. Refactored longitude handling, strengthened subplot detection, and expanded test coverage for edge cases (dateline handling, global cube examples, coastline rendering). Updated tests to reflect new logging formats and figure usage, enabling more reliable geographic visualizations and easier maintenance.
Month 2025-08 highlights: Delivered a major enhancement to spatial visualization in MetOffice/CSET by unifying spatial map setup for rotated and non-rotated grids, improving coastline rendering, extents handling, and figure-based plotting. Refactored longitude handling, strengthened subplot detection, and expanded test coverage for edge cases (dateline handling, global cube examples, coastline rendering). Updated tests to reflect new logging formats and figure usage, enabling more reliable geographic visualizations and easier maintenance.
MetOffice/CSET — Monthly summary for 2025-07 Key features delivered: - Mask testing updates: added/adjusted support for tests involving masking (commit 9d3e0d8b7f4c46b64e7164cd376a4384f12107e6). Improves test coverage and reliability for masked scenarios. - Update histogram description text: clarified text/labels used in histogram descriptions (commit 126d340b1103581a34d8b559d60f06d0c2905858). - Time-series processing enhancements: implemented SEQ collapse method in time_series_case_aggregation_all to concatenate different cases (commit 6d5eb7c8a8c0b678f69834b515e15e859e4e275f). - Aggregate timeseries updates: extended time_series aggregation to support level fields (commit f560b7e1d1da0d73009593d8d7bc9c2c4241e0e2). - ALL recipes and mainline alignment: updated ALL recipes to catch up with cell_methods and model_name changes already on main (commit 1c827cb0568b1e94ad4a88c3eb178d9d10ba86ed). - Default and configuration refinements: adjusted default rain amount difference to reflect likely lower extremes (commit 17d6a3224948f05486f194fb4cc3e86d6615e50d) and updates to reduce changes relative to main (commit c150bc8282afd0d26f6d281f706a1d7b029060f5). - Plotting/visualization improvements: enlarged wind profile axis range, improved visibility in in-air difference plots, adjusted colorbar title size, and shortening plot title widths across surface_spatial_difference recipes (commits d569d9062810edea5414797d0457377241e41c62, 78d93d663ab87585067e8be39bfdfc1ffaac3f10, 7a7a6aa1dea0c6aa4d6e8862ca6e71721facd700, 633264127c1f133c3fefd44868662b5b119c33e6). - Miscellaneous improvements: code formatting refinements and indexing improvements to streamline batch processing (commits 41cf6b3dbc25afe270c0a63605ba7f1181031801, 38d7c86245481683eb574e7e37ffc19e3d980b32). Major bugs fixed: - Revert colorbar to main configuration to fix display/usage issues (commit 8ce9f442115c65add28772f19bb72514d4a039c0). - Tidying up cube merging: ensure timeseries_all workflow tasks succeed (commit ae56379086d4d6d08ae6b65ea099307959881ac5). - Update RAL3LFRIC config defaults to stabilize defaults (commit c31b628ebf51acc216c330df3146c19186d04c42). - Time overlap handling improvements: refine collapse logic and add tests for non-overlapping times (commits efc8fb8a7dd67cc5e6344f2c72b75abb4e79efe2, c9620a3a630aae2a04fa7892d69b4e9fb0e2d9e1). - Cleanup: remove deprecated time0 reference as part of cleanup (commit 89311f5d4c25473d6a4405b8a7d6148dbb6f57af). Overall impact and accomplishments: - Substantially improved test coverage and correctness for masking scenarios and non-masked variables, reducing regression risk in production deployments. - Enhanced data processing pipelines and time-series analytics with more flexible aggregation and robust handling of edge cases, enabling more accurate climate analytics and faster insights for end users. - Improved user-facing visuals and documentation, providing clearer interpretation of plots and configurations, which supports quicker decision-making and stakeholder communication. - Strengthened mainline alignment and configuration consistency across branches, reducing drift and simplifying maintenance in multi-team environments. - Increased reliability of workflows and batch processing, contributing to more predictable nightly runs and shorter debugging cycles. Technologies/skills demonstrated: - Python-based data processing and workflow orchestration, including time-series aggregation, test suites, and plotting routines. - Code quality improvements (formatting, documentation updates) and configuration management. - Debugging and incident response for display/visualization issues and cross-branch alignment.
MetOffice/CSET — Monthly summary for 2025-07 Key features delivered: - Mask testing updates: added/adjusted support for tests involving masking (commit 9d3e0d8b7f4c46b64e7164cd376a4384f12107e6). Improves test coverage and reliability for masked scenarios. - Update histogram description text: clarified text/labels used in histogram descriptions (commit 126d340b1103581a34d8b559d60f06d0c2905858). - Time-series processing enhancements: implemented SEQ collapse method in time_series_case_aggregation_all to concatenate different cases (commit 6d5eb7c8a8c0b678f69834b515e15e859e4e275f). - Aggregate timeseries updates: extended time_series aggregation to support level fields (commit f560b7e1d1da0d73009593d8d7bc9c2c4241e0e2). - ALL recipes and mainline alignment: updated ALL recipes to catch up with cell_methods and model_name changes already on main (commit 1c827cb0568b1e94ad4a88c3eb178d9d10ba86ed). - Default and configuration refinements: adjusted default rain amount difference to reflect likely lower extremes (commit 17d6a3224948f05486f194fb4cc3e86d6615e50d) and updates to reduce changes relative to main (commit c150bc8282afd0d26f6d281f706a1d7b029060f5). - Plotting/visualization improvements: enlarged wind profile axis range, improved visibility in in-air difference plots, adjusted colorbar title size, and shortening plot title widths across surface_spatial_difference recipes (commits d569d9062810edea5414797d0457377241e41c62, 78d93d663ab87585067e8be39bfdfc1ffaac3f10, 7a7a6aa1dea0c6aa4d6e8862ca6e71721facd700, 633264127c1f133c3fefd44868662b5b119c33e6). - Miscellaneous improvements: code formatting refinements and indexing improvements to streamline batch processing (commits 41cf6b3dbc25afe270c0a63605ba7f1181031801, 38d7c86245481683eb574e7e37ffc19e3d980b32). Major bugs fixed: - Revert colorbar to main configuration to fix display/usage issues (commit 8ce9f442115c65add28772f19bb72514d4a039c0). - Tidying up cube merging: ensure timeseries_all workflow tasks succeed (commit ae56379086d4d6d08ae6b65ea099307959881ac5). - Update RAL3LFRIC config defaults to stabilize defaults (commit c31b628ebf51acc216c330df3146c19186d04c42). - Time overlap handling improvements: refine collapse logic and add tests for non-overlapping times (commits efc8fb8a7dd67cc5e6344f2c72b75abb4e79efe2, c9620a3a630aae2a04fa7892d69b4e9fb0e2d9e1). - Cleanup: remove deprecated time0 reference as part of cleanup (commit 89311f5d4c25473d6a4405b8a7d6148dbb6f57af). Overall impact and accomplishments: - Substantially improved test coverage and correctness for masking scenarios and non-masked variables, reducing regression risk in production deployments. - Enhanced data processing pipelines and time-series analytics with more flexible aggregation and robust handling of edge cases, enabling more accurate climate analytics and faster insights for end users. - Improved user-facing visuals and documentation, providing clearer interpretation of plots and configurations, which supports quicker decision-making and stakeholder communication. - Strengthened mainline alignment and configuration consistency across branches, reducing drift and simplifying maintenance in multi-team environments. - Increased reliability of workflows and batch processing, contributing to more predictable nightly runs and shorter debugging cycles. Technologies/skills demonstrated: - Python-based data processing and workflow orchestration, including time-series aggregation, test suites, and plotting routines. - Code quality improvements (formatting, documentation updates) and configuration management. - Debugging and incident response for display/visualization issues and cross-branch alignment.
June 2025 (MetOffice/CSET) delivered robust geospatial handling, expanded test coverage for diverse grid types, and improved visualization workflows. The month focused on correcting edge-case geospatial behavior, strengthening validation across grids, and enhancing time-based processing to align with forecast cycles. These changes increase reliability, deliver clearer, publication-ready plots for decision-makers, and reduce regression risk through CI- and test-driven improvements.
June 2025 (MetOffice/CSET) delivered robust geospatial handling, expanded test coverage for diverse grid types, and improved visualization workflows. The month focused on correcting edge-case geospatial behavior, strengthening validation across grids, and enhancing time-based processing to align with forecast cycles. These changes increase reliability, deliver clearer, publication-ready plots for decision-makers, and reduce regression risk through CI- and test-driven improvements.
May 2025 performance summary for MetOffice/CSET: Delivered core histogram and aggregation enhancements, expanded environment-variable support for general recipes, advanced time statistics and preprocessing workflows, and plotting improvements that elevate deliverable quality. Implemented critical runtime and data integrity fixes to improve reliability and CI/test harness execution. Overall, these efforts increased data quality, reproducibility, and decision-useful visualization, while enabling more flexible workflows and faster integration cycles.
May 2025 performance summary for MetOffice/CSET: Delivered core histogram and aggregation enhancements, expanded environment-variable support for general recipes, advanced time statistics and preprocessing workflows, and plotting improvements that elevate deliverable quality. Implemented critical runtime and data integrity fixes to improve reliability and CI/test harness execution. Overall, these efforts increased data quality, reproducibility, and decision-useful visualization, while enabling more flexible workflows and faster integration cycles.
April 2025 (MetOffice/CSET) monthly summary: - Key features delivered: - Updated default colorbar for radiation plots to improve visualization (commit baabd5ff540e62e25b9caf661bcef911b88f4097). - Rose GUI simplification and option refinement to streamline user experience (commits c43194d78503ff4484b85f84dbc4af62ef7c67fa; 4cf7e3c9ffbf9144bba513eb1259a874fc0e7968; 14984b65a786e27b713007d464adf67b68734ef1). - Env var handling for aggregation from rose-suite.conf inputs and refinement of plotting env variables in cset-workflow; enhanced handling of mlevel changes (a0db4b077e7b65b24116b18d7d89e4d42970cfe7; f34a7d3d3eaeef1a9fdee2f41e0eb2fb55ed291b; 98158e8729de469e2e6bf79ebdce0439855b10af). - Common include files for similar recipes and further rationalisation of includes (753d0e21fb03ca9becb728a67030e88c122e4d39; 1be1a195d4dcff19aedaabcc875c5117370a6059). - Consolidation of generic recipes for pressure and model level, with updates to output titles and webpage listings to reflect a generic level type (faf43147694e21a7408df79a9eae8510fc19bc8f; b3f22ee84c9188711bfb724ad936c538cdd6a55a). - Major bugs fixed: - Removed unused environment variable names from flow.cylc to reduce confusion and potential misreads (0371d26de51a66d0fc9ebf9265251b9213be06f5). - Tidied workflow family settings to prevent unintended family creation when options are not set (#1317) (de46a6dc1533e11d31d6f26cec7aff08dcc0429f). - Overall impact and accomplishments: - Increased visualization clarity, improved UX, and more reliable automation pipelines; reduced maintenance overhead through component reuse and configuration consolidation; stronger test coverage for coordinate naming and plotting workflows. - Technologies/skills demonstrated: - Python-based workflow tooling (Cylc/CSET), environment variable management, plotting and visualization improvements, modular includes, and test-oriented development.
April 2025 (MetOffice/CSET) monthly summary: - Key features delivered: - Updated default colorbar for radiation plots to improve visualization (commit baabd5ff540e62e25b9caf661bcef911b88f4097). - Rose GUI simplification and option refinement to streamline user experience (commits c43194d78503ff4484b85f84dbc4af62ef7c67fa; 4cf7e3c9ffbf9144bba513eb1259a874fc0e7968; 14984b65a786e27b713007d464adf67b68734ef1). - Env var handling for aggregation from rose-suite.conf inputs and refinement of plotting env variables in cset-workflow; enhanced handling of mlevel changes (a0db4b077e7b65b24116b18d7d89e4d42970cfe7; f34a7d3d3eaeef1a9fdee2f41e0eb2fb55ed291b; 98158e8729de469e2e6bf79ebdce0439855b10af). - Common include files for similar recipes and further rationalisation of includes (753d0e21fb03ca9becb728a67030e88c122e4d39; 1be1a195d4dcff19aedaabcc875c5117370a6059). - Consolidation of generic recipes for pressure and model level, with updates to output titles and webpage listings to reflect a generic level type (faf43147694e21a7408df79a9eae8510fc19bc8f; b3f22ee84c9188711bfb724ad936c538cdd6a55a). - Major bugs fixed: - Removed unused environment variable names from flow.cylc to reduce confusion and potential misreads (0371d26de51a66d0fc9ebf9265251b9213be06f5). - Tidied workflow family settings to prevent unintended family creation when options are not set (#1317) (de46a6dc1533e11d31d6f26cec7aff08dcc0429f). - Overall impact and accomplishments: - Increased visualization clarity, improved UX, and more reliable automation pipelines; reduced maintenance overhead through component reuse and configuration consolidation; stronger test coverage for coordinate naming and plotting workflows. - Technologies/skills demonstrated: - Python-based workflow tooling (Cylc/CSET), environment variable management, plotting and visualization improvements, modular includes, and test-oriented development.
March 2025 monthly summary for MetOffice/CSET: delivered reliability improvements for global model plots and enhanced visualization clarity. Key changes include clamping longitude bounds to +/-180 to prevent plot collapse for global models, and redesigning colorbars with horizontal orientation and tighter spacing across spatial plots. These changes improve image readability, reduce misinterpretation, and streamline plot layouts for end users.
March 2025 monthly summary for MetOffice/CSET: delivered reliability improvements for global model plots and enhanced visualization clarity. Key changes include clamping longitude bounds to +/-180 to prevent plot collapse for global models, and redesigning colorbars with horizontal orientation and tighter spacing across spatial plots. These changes improve image readability, reduce misinterpretation, and streamline plot layouts for end users.
Monthly summary for 2024-11: Delivered STASH to LFRIC mapping and normalization enhancements within MetOffice/CSET, establishing a robust mapping module and normalization callback to translate UM STASH identifiers to LFRic variable names, with improved error handling, tests, and preparatory changes to support seamless integration and future enhancements.
Monthly summary for 2024-11: Delivered STASH to LFRIC mapping and normalization enhancements within MetOffice/CSET, establishing a robust mapping module and normalization callback to translate UM STASH identifiers to LFRic variable names, with improved error handling, tests, and preparatory changes to support seamless integration and future enhancements.
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