Data & Analytics

Ensures a ballot tabulation spreadsheet applies the applicable voting-acceptance threshold to each class independently, logs ballot irregularities with their legal basis and recommended treatment, and models sensitivity scenarios showing whether class results change when irregular ballots are excluded or included.

Ensures a plan effective date checklist provides a dashboard summary, condition-level detail with responsible party and risk rating, and proactive identification of practical risks that are not formal conditions precedent but can still delay the effective date.

Ensures an arbitrator disclosure issues memo analyzes income concentration and win-rate patterns quantitatively, identifies undisclosed co-panelist or other relationship issues using external sources where appropriate, and flags challenge timing as urgent where applicable.

> Indexes that contain all columns needed by a query, enabling index-only scans that skip heap table access entirely.

> Indexes that contain all columns needed by a query, enabling index-only scans that skip heap table access entirely.

> Indexes that contain all columns needed by a query, enabling index-only scans that skip heap table access entirely.

> Indexes that contain all columns needed by a query, enabling index-only scans that skip heap table access entirely.

Integrating TanStack Router with TanStack Query: queryClient in router context, ensureQueryData/prefetchQuery in loaders, useSuspenseQuery in components, defaultPreloadStaleTime: 0, setupRouterSsrQueryIntegration for SSR dehydration/hydration and streaming, per-request QueryClient isolation.

Extract, analyze, and visualize dfnWorks simulation results. Compute summary statistics, breakthrough curves, effective permeability, flow channeling metrics, and generate publication-quality figures.

Simulate solute transport through the DFN using Lagrangian particle tracking. Particles are released at the inlet boundary and tracked through the fracture network to the outlet, producing breakthrough curves (travel time distributions) that characterize transport behavior.

Solve steady-state fluid flow through the discrete fracture network to obtain pressure and velocity fields. Three solvers are available:

Generate a 3D discrete fracture network (DFN) using the DFNGen C++ executable. Places fractures stochastically in the domain according to specified statistical distributions for size, orientation, and spatial density. Rejects fractures that violate geometric constraints (too close to existing fractures, outside domain, etc.).

Parse, validate, and analyze WSIMOD output files (flows.csv, tanks.csv, surfaces.csv). Extract specific variables, compute water balance metrics, and generate visualizations for model validation and reporting.

Run the WSIMOD simulation either through the CLI entry point or the Python API. Understand the orchestration sequence, handle runtime errors, and capture output.

> **Stage ID**: s9_runoff_options > **Pipeline order**: 9 of 12 (configured in namelist.hrldas, Stage s9_namelists) > **Depends on**: s5_soil_properties, s9_namelists

> **Stage ID**: s8_yield_analysis > **Pipeline order**: 8 of 8 > **Depends on**: s7_output_parsing

> **Stage ID**: s6_execution > **Pipeline order**: 6 of 7 > **Depends on**: s5_model_assembly

> **Stage ID**: s1_subcatchment_delineation > **Pipeline order**: 1 of 7 > **Depends on**: none

> **Stage ID**: s9_output_parsing > **Pipeline order**: 9 of 9 > **Depends on**: s8_model_execution

**Package**: `hydrocraft-sfincs` v1.0.0 **Model**: SFINCS v2.x (Deltares) **Created by**: Jianyun Zhang Research Group, Hohai University **Last updated**: 2026-03-22 **Stats**: 9 tools | 8 skill documents | 28 diagnostic triplets | 12 error log entries | ~2,379 lines of validated Python **Validation**: Step 3 — Bengbu (Huai River) flood test (2026-03-22) — 384x455 cells, 100m, 397s, 6.99m max depth, CaMa-Flood cross-validated. Previous: Chaohe (2026-03-21) — 174x171 cells, 5.7s, 7.29m max dep...

**Stage:** s9_result_parsing **Pipeline Order:** 9 **Depends On:** s8_execution (model must have completed successfully, producing output files) **Tools:** `parse_ana_output`, `parse_layer_output` ---

Couple OGGM glacier model outputs with HydroCraft's VIC hydrological model to produce integrated cryospheric-hydrological simulations for glacierized basins. This stage converts OGGM's per-glacier melt runoff into VIC grid cell format, handles the critical double-counting problem (VIC also simulates snowmelt on glacier cells), performs unit conversions, aligns temporal resolutions, and quantifies the glacier contribution to total basin discharge. This is where glacier science meets operational h

Run the glacier dynamics simulation to compute glacier evolution (volume, area, length changes) and hydrological outputs (melt, precipitation, refreezing, runoff) over historical and future periods. This stage integrates the calibrated mass balance with ice flow dynamics to produce physically consistent glacier trajectories. The hydrological output from this stage is the key input for VIC coupling in Stage 6.

Calibrate OGGM's mass balance model against geodetic mass balance observations to ensure physically realistic glacier behavior. Without calibration, OGGM's default parameters produce reasonable but imprecise mass balance estimates — calibration typically reduces errors from ~500 mm w.e./yr to ~50 mm w.e./yr for individual glaciers. The calibration anchors the model to reality and is essential for credible projections.