Generate contour lines of snow accumulation near major US lakes
The question
131687Generate contour lines of snow accumulation near major US lakes
Exact submitted task and declared adaptations
Generate contour lines of snow accumulation near major US lakes
Task conventions: Use band 1 of the frozen snow raster at the original grid without resampling, smoothing or clipping. Draw the explicit contour levels [5, 10, 20, 40, 80, 160, 320] in inches. These levels are a disclosed evaluation convention, not a requested interval. Use piecewise-linear marching-squares isolines through pixel-center values, low-valued connectivity at ambiguous saddles. Respect the native mask, NoData and nonfinite cells; do not bridge holes or extrapolate at the outside edge. Apply any source scale and offset. NoData means unknown, never zero. Preserve source coverage; levels outside the observed range may have no line. Do not substitute a current raster. Count nonempty requested contour LEVELS, not polyline fragments. The population-count raster, where supplied, is people per original cell; do not label it population density. Overlay the supplied na_lakes original geometries on the same map. Retain original overlay features matching predicate intersects against each original countries polygon selected by NAME_EN='United States'; duplicated matches count once. Do not clip the line geometries. A dissolved union of the selected country polygons is equivalent for intersects. This is a visual spatial comparison; no invented causal correlation or extra buffer is requested. As in the released reference, near means visual comparison on the same map, not an invented proximity buffer. Major water bodies means the supplied CEC inventory, not an added size threshold. The seven explicit levels replace the reference's dense five-inch interval as a disclosed presentation convention. Keep the actual 2024-09-30 to 2025-05-20 season, not the reference's stale February plot title. Water data and derived maps are for this benchmark only.
Deliver an inspectable vector contour artifact and add it to the map with a level/units legend. End with one fenced JSON object containing: count (number of nonempty requested levels), unknown_count (number of masked or nonfinite source pixels), coverage_note, selection: {collectionId,itemId,assetKey}, level_field, feature_count (actual contour feature rows), map_layer_id. Also include overlay: {selection: {collectionId,itemId,assetKey}, map_layer_id, count}, retaining original benchmark_row_id. Explain the source season/year, units, missing coverage, and visual relationship where an overlay is requested.
Delivery format: provide the answer object with all fields specified above as final_response on assess_result, alongside the inspected final artifact_refs. This replaces the JSON-code-block formatting requirement above. Blue attaches your explicit selection to the accepted final answer. Finish with a concise ordinary-language answer agreeing with that selected result; do not duplicate the JSON in chat.
Supplied immutable inputs:
[
{
"name": "US snowfall, 2024\u201325 frozen season",
"edition": "2024-09-30 to 2025-05-20",
"units": {
"band1": "inches"
},
"collectionId": "blue-generated--[resource id withheld]",
"itemId": "[resource id withheld]",
"assetKey": "data"
},
{
"name": "North American lakes, CEC 2023 frozen benchmark source",
"edition": "CEC North American Environmental Atlas version 4.0 (2023), original benchmark snapshot; benchmark-only use",
"units": {},
"collectionId": "blue-generated--[resource id withheld]",
"itemId": "[resource id withheld]",
"assetKey": "data"
},
{
"name": "World Bank country boundaries",
"edition": "GeoBenchX harmonized names",
"units": {},
"collectionId": "blue-generated--[resource id withheld]",
"itemId": "[resource id withheld]",
"assetKey": "data"
}
]Outcome & verification
Independent artifact and delivery checks passed.
- Duration
- 19m 6s
- Recorded Blue tool calls
- 56
- Total tokens
- 2,118,220
- Model cost
- Not recorded
- Application revision
- d50497ea9084f29c91b05406688f87035df98d8a
- Release
- terra-geobenchx-v1
Recorded final answer
Independent checks
These checks are separate from the agent's own assessment. A successful job or an assertion of success is not enough to pass.
- Expected count
- 7
- Reported count
- 7
- Computation verified
- Yes
- Answer fulfilled
- Yes
Full grading and rubric record
{
"expectedCount": 7,
"actualCount": 7,
"expectedMetrics": null,
"actualMetrics": null,
"computationCorrect": true,
"answerFulfilled": true,
"adjudication": null,
"qualification": null,
"reasons": []
}Recorded investigation findings
The agent's reported hypotheses and assessments, retained as evidence of its process—not independent proof that the answer is correct. Failed calls retain their requested verdict, not an accepted assessment.
run_trial · completed
Does the supplied 2024-09-30 to 2025-05-20 snowfall raster produce inspectable contour lines at the seven explicit inch levels, and can original CEC lake geometries be selected once by intersection with United States polygons without clipping?
assess_trial · completed · assessment: sufficient
The supplied snowfall raster produced 3,396 contour features with a level field in inches and seven distinct nonempty requested levels: 5, 10, 20, 40, 80, 160, and 320. Full-raster statistics reported 1,032,876 missing cells and zero nonfinite cells, so unknown coverage stays unknown rather than zero. The lake selection kept whole original CEC geometries, retained benchmark_row_id, and returned 7,656 features intersecting the dissolved United States geometry without clipping.
assess_result · completed · assessment: sufficient
I delivered the 2024-09-30 to 2025-05-20 snowfall contours in inches and the original CEC lake overlay on the current map. The final contour artifact has 3,396 line features and seven nonempty requested levels, and the final lake overlay has 7,656 original features with benchmark_row_id retained. The source raster statistics report 1,032,876 unknown cells and zero nonfinite cells, so contour coverage stops at NoData holes and source coverage edges.
Recorded workflow
- 01
contours
Recorded raster-contours · succeeded
- 02
Contour legend classes
Recorded vector-classify · succeeded
- 03
Snow accumulation contour lines
Recorded output · succeeded
- 04
Major US lakes overlay
Recorded output · succeeded
- 05
Snowfall raster coverage statistics
Recorded output · succeeded
- 06
lakes us
Recorded vector-spatial-join · succeeded
- 07
snow stats
Recorded raster-statistics · succeeded
- 08
blue-generated--[resource id withheld]
Recorded source · succeeded
- 09
blue-generated--[resource id withheld]
Recorded source · succeeded
- 10
blue-generated--[resource id withheld]
Recorded source · succeeded
- 11
us filter
Recorded vector-filter · succeeded
- 12
us union
Recorded vector-dissolve · succeeded
- 13
contours
Recorded raster-contours · succeeded
- 14
lakes us
Recorded vector-spatial-join · succeeded
- 15
snow stats
Recorded raster-statistics · succeeded
- 16
blue-generated--[resource id withheld]
Recorded source · succeeded
- 17
blue-generated--[resource id withheld]
Recorded source · succeeded
- 18
blue-generated--[resource id withheld]
Recorded source · succeeded
- 19
lakes us
Recorded output · succeeded
- 20
contours
Recorded output · succeeded
- 21
snow stats
Recorded output · succeeded
- 22
us filter
Recorded vector-filter · succeeded
- 23
us union
Recorded vector-dissolve · succeeded
Activity
Recorded actionsRecorded observable actions only, not private reasoning. Raw payloads, geometry, private links and credentials are omitted; full evidence is retained privately. Activity/workflow lists bounded at 500 entries.
Progress update
I’m checking the saved analysis context, the supplied files, and the contour/overlay tools so I can build the exact 2024–25 snowfall contours and put both layers on your map.
Progress update
I found the Blue analysis tools. Next I’m inspecting the supplied raster/vector sources and the exact processor contracts so I can keep the native grid, mask, contour levels, and lake overlay rules exactly as you specified.
get_map_context
Recorded tool call · completed
get_collection
Recorded tool call · completed
get_collection
Recorded tool call · completed
get_analysis
Recorded tool call · completed
list_processors
Recorded tool call · completed
get_collection
Recorded tool call · completed
list_processors
Recorded tool call · completed
Progress update
I found the exact contour processor Blue provides. I’m now checking its schema plus the boundary/lake fields so I can keep the requested seven levels, native mask handling, and United States lake selection without guessing.
get_tool_help
Recorded tool call · completed
describe_processors
Recorded tool call · failed
get_collection
Recorded tool call · completed
get_collection
Recorded tool call · completed
Progress update
I confirmed the supplied files are benchmark fixtures, but their published metadata alone doesn’t expose the row fields. I’m using processor schemas and a small private validation next so I can verify the country-name filter and contour output structure before running the full job.
describe_processors
Recorded tool call · completed
describe_processors
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
Progress update
The contour processor matches your requested method exactly. I’m now inspecting the supplied raster/vector items directly to verify the raster’s band metadata and the country/lake fields before I freeze the final workflow.
inspect_artifact
Recorded tool call · failed
inspect_artifact
Recorded tool call · failed
inspect_artifact
Recorded tool call · failed
describe_processors
Recorded tool call · completed
Progress update
I’ve pinned the study scope to the supplied snowfall raster’s full 2024–25 coverage so the contours keep their original grid and uncut extent. Next I’m running one compact private test that checks both parts together: exact contours from the snowfall raster, and original lake geometries selected by U.S. intersection.
update_analysis_brief
Recorded tool call · completed
Progress update
I’m running a compact combined test now. I expect to see only the seven requested contour levels from the snowfall raster, a masked/nonfinite pixel count from the original band, and a lake selection that keeps the original CEC geometries while matching U.S. polygons by intersection.
run_trial
Recorded tool call · completed
Progress update
The private test succeeded. I’m checking its preview images now so I can confirm the map behavior before I promote this exact method into the final runnable workflow and add the verified layers to your map.
get_trial_report
Recorded tool call · completed
Progress update
The test answered the core method question: all seven requested contour levels are present, the raster unknown count is measured, and the lake selection keeps original geometries with benchmark_row_id. I’m recording that result, then saving a runnable workflow that uses this exact tested method for the final map layers.
assess_trial
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_analysis
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
list_processors
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
Progress update
I’ve developed the runnable method from the successful full-extent trial. I’m now saving that exact workflow, with a display-ready contour layer for the map legend and a separate supporting raster-stats output for the unknown-pixel count in the final answer.
propose_workflow
Recorded tool call · completed
execute_workflow
Recorded tool call · completed
Progress update
The saved workflow is ready and matches the tested full-extent method, with one added display step for the contour legend. I’m executing it now, then I’ll inspect the final contour, lake overlay, and raster-stats outputs before adding the verified layers to your map.
Progress update
The workflow finished in the background. I’m inspecting the final outputs now so I can bind the verified contour and lake layers to your map and return the exact artifact IDs and counts.
inspect_workflow_results
Recorded tool call · completed
inspect_workflow_results
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
list_map_layers
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
I have the final artifact IDs and map layers. I’m fetching the finished inspection receipts now so I can verify the delivered fields and counts on the final outputs, not just the workflow run summary.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
Progress update
I’ve verified the delivered outputs themselves: the final contour layer has 3,396 rows and seven distinct inch levels, the lake overlay has 7,656 original features with unique benchmark_row_id values, and the raster stats table confirms 1,032,876 unknown source pixels. I’m refreshing the brief notes, then I’ll record the final assessed answer object with the verified artifact and map-layer IDs.
get_tool_help
Recorded tool call · completed
get_analysis
Recorded tool call · completed
update_analysis_brief
Recorded tool call · completed
assess_result
Recorded tool call · completed