A tablet drought intelligence dashboard showing Central Valley drought severity, reservoir capacity, precipitation anomaly, groundwater trends, soil moisture, vegetation stress, and long-term timeline context.
1/3
Dryline Drought Intel
Drought intelligence app for reservoir storage, groundwater, soil moisture, vegetation stress, precipitation deficit, and watershed conditions.
Year
2025
Duration
4 months
Location
Phoenix, Arizona, United States
Surfaces
tablet, mobileStack
Architecture
Mapping
Code
AI
Conceptual application work, created with the listed platforms and APIs and tested across the indicated surfaces.
Details
Built as a drought and water-stress intelligence product for water agencies, planners, agricultural stakeholders, and environmental analysts.
Combines tablet command views with mobile county-detail screens so users can review statewide patterns and inspect local drought conditions from the same product family.
Displays drought severity, watershed boundaries, reservoir capacity, snowpack, precipitation anomaly, groundwater trend, soil moisture, and vegetation stress in one interface.
Includes a county detail workflow for well levels, groundwater decline, streamflow percentile, precipitation deficit, vegetation stress, water restrictions, and water-year history.
Uses long-term timeline context to compare current drought conditions against multi-year and 20-year historical patterns.
Supports reservoir and groundwater monitoring workflows for understanding supply risk, recharge pressure, and drought resilience by basin or county.
Uses AI-assisted water summaries to explain drought drivers, identify worsening basins, forecast reservoir and groundwater pressure, and suggest priority areas for review.
Designed around practical water-management decisions rather than generic weather display, with emphasis on drought severity, storage, demand, and regional vulnerability.