网格化气候与海洋数据可视化
Gridded climate & ocean data visualization
Plot and compare NetCDF/HDF fields with correct projections and scales.
20 条本项目编写的提案 · 分类 v1.1 · 新增基准运行 0 次。下方验证方式与部分得分规则是设计,不是执行结果。
- 典型应用
- Panoply · ncview · NASA Worldview
- 小类 GUI 需求标签
G2· GUI 必要
任务提案 · 20
展开查看完整原文与建议检查方式;两种界面均保留提案英文原文。
R08.03.01.01-T01 Plot July sea-surface temperature on a Robinson map in Panoply with a fixed scale
原始指令
Open input/oisst_monthly_2024.nc in Panoply. Create a lon-lat plot of 'sst' for July 2024 on the Robinson projection, scale −2 to 32 °C with the GMT_haxby colour table and continents overlay. Save plot settings to output/sst_jul.pclx and export a 1200-px-wide output/sst_jul.png.
- 平台
mac· macOSwin· Windows- 应用
- Panoply
- 交互表面
desk· 桌面 GUI- GUI 需求 · 任务设定
G2· GUI 必要- GUI 需求 · 普通权限
G3· 仅 GUI- 交互原语
click· 指向与点击type· 文字与表单vis· 视觉判断- 工作产物
WP03· 视觉排版- 条件
- 未声明
- 提案难度
- 2 / 5
建议验证方式
Parse sst_jul.pclx: variable sst, time index for 2024-07, projection Robinson, scale min/max −2/32, colour table GMT_haxby, overlay on. PanoplyCL re-renders the .pclx and the submitted PNG must match it (SSIM ≥0.95) and be 1200 px wide; matplotlib output without a .pclx scores 0. PanoplyCL is not installed on the agent VM, and a file-system audit log flags any .pclx, PNG or CSV in output/ not written by Panoply.
建议部分得分
25% correct variable and month; 25% projection; 30% scale and colour table; 20% PNG matches re-render.
R08.03.01.01-T02 Map the 2023 temperature anomaly against a 1991–2020 climatology in Panoply
原始指令
Open input/era5_t2m_2023_mean.nc and input/era5_t2m_clim_1991_2020.nc in Panoply. Make a combined plot Array 1 − Array 2 of t2m on an equirectangular map, symmetric scale ±4 K with a diverging colour table. Save output/anom.pclx, export output/anom.png and export the plotted difference array to output/anom.csv.
- 平台
mac· macOSwin· Windows- 应用
- Panoply
- 交互表面
desk· 桌面 GUI- GUI 需求 · 任务设定
G2· GUI 必要- GUI 需求 · 普通权限
G2· GUI 必要- 交互原语
click· 指向与点击type· 文字与表单vis· 视觉判断- 工作产物
WP03· 视觉排版- 条件
- 未声明
- 提案难度
- 3 / 5
建议验证方式
anom.pclx must define a two-array combined plot with subtraction in the stated order, scale −4/+4 and a diverging table. anom.csv values must match the reference difference (max abs error 1e-3 K) on the same grid. PNG must match the PanoplyCL re-render (SSIM ≥0.95). PanoplyCL is not installed on the agent VM, and a file-system audit log flags any .pclx, PNG or CSV in output/ not written by Panoply.
建议部分得分
30% combine set up in correct order; 20% scale/colour table; 35% exported difference data correct; 15% PNG.
R08.03.01.01-T03 Find the warmest equatorial Pacific grid cell at 100 m depth using ncview
原始指令
In a Linux desktop, open input/woa_temp.nc with ncview. Show 't_an' at depth level 100 m for month 5 and, using the cursor readout, find the grid cell with the highest temperature within 120°E–80°W, 20°S–20°N. Write its lon, lat and value to output/answer.json.
- 平台
lin· Linux- 应用
- ncview
- 交互表面
desk· 桌面 GUI- GUI 需求 · 任务设定
G2· GUI 必要- GUI 需求 · 普通权限
CL· CLI 足够- 交互原语
click· 指向与点击nav· 平移 / 缩放 / 滚动vis· 视觉判断- 工作产物
WP12· 答案 / 决策- 条件
- 未声明
- 提案难度
- 3 / 5
建议验证方式
lon/lat must be within one grid cell (1°) of the gold argmax and value within 0.01 °C of that cell. Python netCDF libraries, ncdump and NCO/CDO are not installed in the image; shell history is logged and command-line extraction caps the score at 0.
建议部分得分
30% correct depth level and month displayed; 50% location within one cell; 20% value correct.
R08.03.01.01-T04 Build a NASA Worldview fire-season view and save its share link
原始指令
In NASA Worldview, show MODIS Terra Corrected Reflectance (True Color), VIIRS NOAA-20 Fires and Thermal Anomalies, and the Coastlines layer for 2025-08-12, framed on 123°W–119°W, 38°N–41°N. Hide all other overlays and paste the share permalink into output/permalink.txt.
- 平台
web· 任意系统(网页)- 应用
- NASA Worldview
- 交互表面
brow· 浏览器- GUI 需求 · 任务设定
G2· GUI 必要- GUI 需求 · 普通权限
G2· GUI 必要- 交互原语
click· 指向与点击nav· 平移 / 缩放 / 滚动drag· 拖放- 工作产物
WP08· 应用 / 系统状态- 条件
- 未声明
- 提案难度
- 2 / 5
建议验证方式
Parse the permalink: l= contains exactly the three required layer IDs (plus the base layer), t= 2025-08-12, v= bounding box within 5% of the target extent on each side. The URL must match one produced by Worldview's Share dialog, captured from the browser session; hand-built URLs are detected and score 0. Worldview loads the link and screenshots it for the record.
建议部分得分
40% correct layers; 25% date; 35% extent within tolerance.
R08.03.01.01-T05 Make an equatorial Hovmöller diagram of SST anomaly for the 2015 El Niño in Panoply
原始指令
Open input/sst_anom_1980_2024.nc in Panoply and create a longitude–time plot of sst_anom along the equator (0°) for Jan 2014–Dec 2017 and 120°E–80°W, scale ±3 °C with a diverging table. Save output/hov.pclx and output/hov.png, and report in output/answer.json the month with the largest anomaly at 120°W.
- 平台
mac· macOSwin· Windows- 应用
- Panoply
- 交互表面
desk· 桌面 GUI- GUI 需求 · 任务设定
G2· GUI 必要- GUI 需求 · 普通权限
G2· GUI 必要- 交互原语
click· 指向与点击type· 文字与表单vis· 视觉判断- 工作产物
WP03· 视觉排版- 条件
- 未声明
- 提案难度
- 3 / 5
建议验证方式
hov.pclx must specify a lon–time plot at latitude 0°, the time and longitude ranges, and ±3 scale. The month must equal the gold argmax at 120°W. PNG must match the PanoplyCL re-render (SSIM ≥0.95). PanoplyCL is not installed on the agent VM, and a file-system audit log flags any .pclx, PNG or CSV in output/ not written by Panoply.
建议部分得分
30% plot type and latitude; 25% ranges; 20% scale; 25% correct peak month.
R08.03.01.01-T06 Plot an Atlantic meridional temperature section with depth increasing downward
原始指令
Open input/woa23_temp_annual.nc in Panoply and create a latitude–depth section of t_an at 30°W, 60°S–60°N, 0–2000 m with the surface at the top, scale 0–25 °C in 25 steps. Save output/section.pclx and output/section.png and export the plotted slice to output/section.csv.
- 平台
mac· macOSwin· Windows- 应用
- Panoply
- 交互表面
desk· 桌面 GUI- GUI 需求 · 任务设定
G2· GUI 必要- GUI 需求 · 普通权限
G2· GUI 必要- 交互原语
click· 指向与点击type· 文字与表单vis· 视觉判断- 工作产物
WP03· 视觉排版- 条件
- 未声明
- 提案难度
- 3 / 5
建议验证方式
section.pclx: lat–vertical plot at the 30°W index, latitude and depth ranges, inverted depth axis, scale 0–25 with 25 steps. section.csv must match the reference slice (max abs error 1e-3). PNG matched against PanoplyCL re-render. PanoplyCL is not installed on the agent VM, and a file-system audit log flags any .pclx, PNG or CSV in output/ not written by Panoply.
建议部分得分
30% correct longitude and plot type; 25% axis ranges and inversion; 20% scale; 25% exported slice.
R08.03.01.01-T07 Extract and reproject an ERA5 temperature time slice to polar stereographic in QGIS
原始指令
Load input/era5_t2m_jan2024.nc (hourly) in QGIS. Select the band for 2024-01-15 12:00 UTC, convert K to °C, reproject to EPSG:3031 and clip south of 60°S. Style it singleband pseudocolor with fixed classes −40 to 0 °C every 5 °C. Save output/antarctica.tif and the project output/map.qgz.
- 平台
mac· macOSwin· Windows- 应用
- QGIS
- 交互表面
desk· 桌面 GUI- GUI 需求 · 任务设定
G2· GUI 必要- GUI 需求 · 普通权限
CL· CLI 足够- 交互原语
click· 指向与点击type· 文字与表单vis· 视觉判断- 工作产物
WP04· 三维 / 空间模型- 条件
- 未声明
- 提案难度
- 3 / 5
建议验证方式
antarctica.tif: CRS EPSG:3031, extent covers 60–90°S only, values match the reference (MAE <0.05 °C) — choosing the wrong band fails. map.qgz renderer: pseudocolor, 9 fixed class breaks −40…0. The PyQGIS console, qgis_process and GDAL command-line tools are disabled, and map.qgz must reference antarctica.tif as its layer source.
建议部分得分
30% correct time band; 20% unit conversion; 25% reprojection and clip; 25% styling.
R08.03.01.01-T08 Spot the model run with a dateline seam artifact among four SST outputs
原始指令
input/ holds run_A.nc to run_D.nc, four regridded model SST fields. Plot each in Panoply on a Pacific-centred map, find the one with a spurious seam or duplicated column near 180°, and write the run name and the affected longitude index range to output/answer.json.
- 平台
mac· macOSwin· Windows- 应用
- Panoply
- 交互表面
desk· 桌面 GUI- GUI 需求 · 任务设定
G2· GUI 必要- GUI 需求 · 普通权限
G2· GUI 必要- 交互原语
click· 指向与点击vis· 视觉判断nav· 平移 / 缩放 / 滚动- 工作产物
WP12· 答案 / 决策- 条件
- 未声明
- 提案难度
- 3 / 5
建议验证方式
Run name must equal gold; reported index range must overlap the gold artifact columns with IoU ≥0.5. The other three runs contain plausible natural fronts near the dateline to defeat naive difference checks. Python netCDF libraries, ncdump, NCO/CDO and PanoplyCL are not installed on the VM and shell history is logged, so runs must be inspected in Panoply.
建议部分得分
60% correct run; 40% artifact index range.
R08.03.01.01-T09 Visualize Gulf Stream surface currents with glyphs and streamlines in ParaView
原始指令
Open input/hycom_gulfstream.nc in ParaView. Compute speed = sqrt(u²+v²) with a Calculator, colour by speed 0–2 m/s, add Glyph arrows on every 4th point and a Stream Tracer seeded along a line from (75°W, 33°N) to (70°W, 33°N). Export a 1920×1080 output/gulf.png, save output/gulf.pvsm, and report max speed in output/answer.json.
- 平台
mac· macOSwin· Windows- 应用
- ParaView
- 交互表面
desk· 桌面 GUI- GUI 需求 · 任务设定
G2· GUI 必要- GUI 需求 · 普通权限
CL· CLI 足够- 交互原语
click· 指向与点击type· 文字与表单vis· 视觉判断- 工作产物
WP03· 视觉排版- 条件
- 未声明
- 提案难度
- 4 / 5
建议验证方式
Parse gulf.pvsm: Calculator expression for speed, LUT range 0–2, Glyph stride 4, StreamTracer line seed endpoints within 0.1° of spec. Max speed within 1% of reference. PNG 1920×1080. The Python Shell is disabled and pvpython/pvbatch runs are flagged.
建议部分得分
25% speed field; 20% glyphs; 30% streamline seeding; 25% render and max speed.
R08.03.01.01-T10 Create a ten-day aerosol optical depth animation GIF in NASA Worldview
原始指令
In NASA Worldview show the MODIS combined Value-Added Aerosol Optical Depth layer over 120°W–60°W, 45°N–65°N. Using the animation tool, create a GIF for 2025-06-01 to 2025-06-10 daily at 2 frames/s with date stamps, and save it as output/aod.gif.
- 平台
web· 任意系统(网页)- 应用
- NASA Worldview
- 交互表面
brow· 浏览器- GUI 需求 · 任务设定
G2· GUI 必要- GUI 需求 · 普通权限
G2· GUI 必要- 交互原语
click· 指向与点击nav· 平移 / 缩放 / 滚动drag· 拖放- 工作产物
WP05· 时序媒体- 条件
- 未声明
- 提案难度
- 3 / 5
建议验证方式
aod.gif must have 10 frames with 500 ms delay, Worldview date stamps matching consecutive dates, and frame content matching the reference GIBS tiles for that layer and extent (per-frame SSIM ≥0.85). Direct GIBS tile requests are blocked at the proxy. Frames must carry the Worldview animation date-stamp overlay.
建议部分得分
25% correct layer; 25% extent; 30% 10 consecutive dated frames; 20% frame rate.
R08.03.01.01-T11 Plot curvilinear ROMS salinity on its true geographic grid in Panoply
原始指令
Open input/roms_his.nc (curvilinear grid with 2-D lon_rho/lat_rho) in Panoply. Plot surface salt (top s_rho level) at time index 3 using the 2-D geolocation, zoomed to 76°W–68°W, 34°N–42°N, scale 30–36 PSU. Save output/roms.pclx and output/roms.png.
- 平台
mac· macOSwin· Windows- 应用
- Panoply
- 交互表面
desk· 桌面 GUI- GUI 需求 · 任务设定
G2· GUI 必要- GUI 需求 · 普通权限
G2· GUI 必要- 交互原语
click· 指向与点击type· 文字与表单vis· 视觉判断- 工作产物
WP03· 视觉排版- 条件
- 未声明
- 提案难度
- 4 / 5
建议验证方式
roms.pclx must reference salt with lon_rho/lat_rho as the geogrid (not index space), top s_rho level, time 3, the map bounds and scale. PNG must match the PanoplyCL re-render (SSIM ≥0.95); an index-space plot fails the geogrid milestone. PanoplyCL is not installed on the agent VM, and a file-system audit log flags any .pclx, PNG or CSV in output/ not written by Panoply.
建议部分得分
35% curvilinear geolocation used; 25% level/time; 20% region; 20% scale and image.
R08.03.01.01-T12 Compare JJA climatologies of two CMIP6 models on a common grid with CDO and Panoply
原始指令
input/ has monthly tas for model A (1.25°) and model B (2.5°), 1995–2014. With CDO compute each model's JJA climatology, remap A to B's grid bilinearly, and write A−B to output/jja_diff.nc. Plot it in Panoply on Robinson with ±5 K diverging scale and save output/jja_diff.pclx and output/jja_diff.png.
- 平台
mac· macOSlin· Linux- 应用
- CDO · Panoply
- 交互表面
term· 终端desk· 桌面 GUI- GUI 需求 · 任务设定
HY· 混合- GUI 需求 · 普通权限
HY· 混合- 交互原语
code· 代码与命令click· 指向与点击vis· 视觉判断- 工作产物
WP03· 视觉排版- 条件
multiapp· 多应用- 提案难度
- 5 / 5
建议验证方式
jja_diff.nc must match the reference on B's grid (RMSE <0.01 K); using DJF or annual means, or remapping B to A, fails. The .pclx must plot that file with Robinson and ±5 scale; PNG matched to PanoplyCL re-render (SSIM ≥0.95).
建议部分得分
30% JJA climatologies; 25% regridding; 20% difference file; 25% Panoply plot.
R08.03.01.01-T13 Find the peak month of the 2015–16 El Niño at one grid point by scrubbing time in ncview
原始指令
Open input/sst_anom_monthly.nc in ncview on Linux. Step through time to find the month in 2015–2016 when the SST anomaly at 0°N, 150°W was highest, and report that month (YYYY-MM) and value in output/answer.json.
- 平台
lin· Linux- 应用
- ncview
- 交互表面
desk· 桌面 GUI- GUI 需求 · 任务设定
G2· GUI 必要- GUI 需求 · 普通权限
CL· CLI 足够- 交互原语
click· 指向与点击nav· 平移 / 缩放 / 滚动av· 音视频时序- 工作产物
WP12· 答案 / 决策- 条件
- 未声明
- 提案难度
- 3 / 5
建议验证方式
Month must be within ±1 of the gold argmax at the nearest grid cell; value within 0.05 °C of that month's value. Python netCDF libraries, ncdump and NCO/CDO are not installed; shell history is logged and command-line extraction scores 0, so values must be read in ncview.
建议部分得分
70% month within ±1 (full if exact); 30% value correct.
R08.03.01.01-T14 Build a 3D humidity isosurface with 500 hPa winds and heights in Unidata IDV
原始指令
Open input/gfs_2025091200.grib2 in IDV. Create a 3D isosurface of relative humidity at 90% for 700–300 hPa, 500 hPa wind barbs on a 2° skip, and 500 hPa geopotential height contours every 60 m, viewed from the south-west (azimuth 225°, tilt 45°) framing 20–60°N, 130–60°W. Save the bundle as output/storm.xidv and an image output/storm.png.
- 平台
mac· macOSwin· Windows- 应用
- Unidata IDV
- 交互表面
desk· 桌面 GUI- GUI 需求 · 任务设定
G2· GUI 必要- GUI 需求 · 普通权限
CL· CLI 足够- 交互原语
click· 指向与点击drag· 拖放vis· 视觉判断- 工作产物
WP03· 视觉排版- 条件
tutorial· 阅读文档 / 教程- 提案难度
- 5 / 5
建议验证方式
Parse storm.xidv: an isosurface display of RH at 90 with vertical range 700–300 hPa, a barb display at 500 hPa with skip set, and a contour display of 500 hPa height interval 60. The bundle view must be within 10° of the stated azimuth/tilt and storm.png reach SSIM ≥0.7 against the reference render at that view. IDV's Jython shell and ISL batch mode are disabled; a file-system audit flags files not written by IDV.
建议部分得分
30% isosurface; 25% wind barbs; 25% height contours; 20% bundle and 3D view.
R08.03.01.01-T15 Apply a custom colour table and stepped levels to a precipitation map in Panoply
原始指令
Open input/imerg_precip_2024_jan.nc in Panoply. Import the colour table input/precip.cpt, plot precipitation with 12 discrete steps from 0 to 12 mm/day, set distinct colours for out-of-range values, add the coastline overlay, and save output/precip.pclx and output/precip.png.
- 平台
mac· macOSwin· Windows- 应用
- Panoply
- 交互表面
desk· 桌面 GUI- GUI 需求 · 任务设定
G2· GUI 必要- GUI 需求 · 普通权限
G3· 仅 GUI- 交互原语
click· 指向与点击type· 文字与表单vis· 视觉判断- 工作产物
WP03· 视觉排版- 条件
- 未声明
- 提案难度
- 3 / 5
建议验证方式
precip.pclx must reference the imported precip.cpt, range 0–12 with 12 steps, out-of-range colours set, coastline overlay on. PNG must match the PanoplyCL re-render (SSIM ≥0.95). PanoplyCL is not installed on the agent VM, and a file-system audit log flags any .pclx, PNG or CSV in output/ not written by Panoply.
建议部分得分
30% custom colour table; 30% stepped range; 20% out-of-range colours; 20% overlay and image.
R08.03.01.01-T16 Animate monthly Arctic sea-ice concentration with QGIS's temporal controller
原始指令
Load input/seaice_conc_2024.nc into QGIS as a mesh layer, set dataset group 'ice_conc' with a 0–100% blues ramp, show it in EPSG:3413, and use the Temporal Controller to export one frame per month for 2024 to output/frames/ at 1000×1000 px. Save the project as output/ice.qgz.
- 平台
mac· macOSwin· Windows- 应用
- QGIS
- 交互表面
desk· 桌面 GUI- GUI 需求 · 任务设定
G2· GUI 必要- GUI 需求 · 普通权限
CL· CLI 足够- 交互原语
click· 指向与点击type· 文字与表单nav· 平移 / 缩放 / 滚动- 工作产物
WP05· 时序媒体- 条件
- 未声明
- 提案难度
- 4 / 5
建议验证方式
output/frames/ must hold 12 PNGs in month order at 1000×1000; each frame's ice area (blue pixels above 15%) must correlate ≥0.95 with reference monthly extents. ice.qgz: mesh layer, renderer range 0–100, CRS EPSG:3413, temporal step 1 month. The PyQGIS console and qgis_process are disabled; frames must follow the Temporal Controller export naming.
建议部分得分
25% mesh layer and styling; 20% CRS; 35% 12 correct frames; 20% project saved.
R08.03.01.01-T17 Diagnose a wrong missing_value attribute, fix it with NCO and replot in Panoply
原始指令
Plots of input/argo_grid.nc in Panoply show large blotches of extreme values. Find the cause by inspecting the variable attributes in Panoply, fix the file with NCO into output/argo_fixed.nc without altering valid data, and re-plot temperature at 10 dbar in Panoply. Save output/argo.pclx, output/argo.png and a one-line cause in output/cause.txt.
- 平台
mac· macOSlin· Linux- 应用
- Panoply · NCO
- 交互表面
desk· 桌面 GUIterm· 终端- GUI 需求 · 任务设定
HY· 混合- GUI 需求 · 普通权限
G2· GUI 必要- 交互原语
click· 指向与点击code· 代码与命令vis· 视觉判断- 工作产物
WP03· 视觉排版- 条件
multiapp· 多应用- 提案难度
- 4 / 5
建议验证方式
argo_fixed.nc: _FillValue/missing_value set to the true sentinel, all non-fill values identical to the input. argo.png must have <0.1% pixels in the extreme colour class. cause.txt must mention the mismatched fill value (keyword check).
建议部分得分
30% cause identified; 35% file fixed without data changes; 35% correct replot.
R08.03.01.01-T18 Control: locate the warmest equatorial Pacific cell at 100 m with xarray
原始指令
Control pair of T03. Using Python/xarray or CDO from the terminal, find the grid cell with the highest t_an at depth 100 m, month 5, within 120°E–80°W, 20°S–20°N in input/woa_temp.nc, and write lon, lat and value to output/answer.json.
- 平台
mac· macOSlin· Linux- 应用
- xarray · CDO
- 交互表面
term· 终端- GUI 需求 · 任务设定
CL· CLI 足够- GUI 需求 · 普通权限
CL· CLI 足够- 交互原语
code· 代码与命令- 工作产物
WP12· 答案 / 决策- 条件
- 未声明
- 提案难度
- 2 / 5
建议验证方式
Same checker as T03 (location within one grid cell, value within 0.01 °C). Scored as the CLI control of T03; the dateline-crossing box is the main trap.
建议部分得分
50% location; 30% value; 20% correct depth and month.
R08.03.01.01-T19 Pull an area-averaged IMERG precipitation series from Giovanni and correlate with a station
原始指令
Using an Earthdata test account in NASA Giovanni, generate an area-averaged monthly time series of GPM IMERG precipitation for 100°E–102°E, 13°N–15°N, Jan 2015–Dec 2024, and download it as CSV to output/imerg.csv. Compute the Pearson correlation with input/station_monthly.csv after unit harmonisation and write r to output/answer.json.
- 平台
web· 任意系统(网页)- 应用
- NASA Giovanni · Python
- 交互表面
brow· 浏览器term· 终端- GUI 需求 · 任务设定
HY· 混合- GUI 需求 · 普通权限
G2· GUI 必要- 交互原语
click· 指向与点击type· 文字与表单code· 代码与命令- 工作产物
WP12· 答案 / 决策- 条件
multiapp· 多应用- 提案难度
- 4 / 5
建议验证方式
imerg.csv must carry Giovanni's header with the requested box, product and dates and 120 monthly values matching the reference download (max abs error 1e-3). r within 0.01 of gold (mm/hr vs mm/month mismatch gives a wrong scale but same r, so the CSV units are also checked).
建议部分得分
40% correct Giovanni series; 20% units harmonised; 40% correlation correct.
R08.03.01.01-T20 Compose a linked four-season SST anomaly panel figure in ParaView
原始指令
Open input/sst_season_anom.nc in ParaView and build a 2×2 layout of DJF, MAM, JJA and SON anomaly maps with linked cameras, one shared colour map fixed at ±2 °C (Cool to Warm), a title per view and a single colour legend. Save output/seasons.pvsm and export a 2400×1600 output/seasons.png.
- 平台
mac· macOSwin· Windows- 应用
- ParaView
- 交互表面
desk· 桌面 GUI- GUI 需求 · 任务设定
G2· GUI 必要- GUI 需求 · 普通权限
CL· CLI 足够- 交互原语
click· 指向与点击drag· 拖放vis· 视觉判断- 工作产物
WP03· 视觉排版- 条件
- 未声明
- 提案难度
- 5 / 5
建议验证方式
Parse seasons.pvsm: four render views in a 2×2 layout, each showing the correct season slice, a shared LUT −2/+2, camera links between views, four title texts, exactly one visible scalar bar. PNG 2400×1600 with per-quadrant SSIM ≥0.85 vs reference. Python Shell disabled and pvpython/pvbatch runs flagged.
建议部分得分
25% four correct season views; 20% shared fixed colour map; 20% linked cameras; 35% titles, legend and exported image.
已有研究映射
以下沿用研究目录中的基准与小类映射,不是逐题标注、执行记录或产品背书。