I Will Analyze How Snowmelt Shifts Affect Your Watershed's Seasonal Water Flow

I Will Diagnose How Climate Warming Changes Your Watershed's Water Supply

What I do

I provide rapid diagnosis of how climate warming affects mountain watersheds. I identify which watersheds are most sensitive to warming, and whether a watershed is approaching a critical shift in its seasonal water patterns.

Traditional hydrology tells you where water comes from. I tell you how the seasonal flow pattern will change under warming — and how fast.

What you get

- Watershed sensitivity diagnosis (high / moderate / low)
- Anchor type classification: snow-anchored, mixed, rain-anchored, or hidden-anchored
- Spring runoff fraction: how much of the annual water comes from snowmelt
- Seasonal extremization trend over the past 30-60 years
- Winter snow depth trend over the past 30-40 years
- Snowmelt peak date trend
- Plain-language conclusion and actionable recommendations
- 5-10 page diagnostic report with time-series figures

Who this is for

- Consulting firms: rapid batch screening of watersheds before detailed studies
- Planning institutes: regional water security pre-assessment
- Research teams: watershed response pattern analysis
- Water resource agencies: internal research reference
- Anyone concerned about long-term water availability in mountain regions

Two example results

Altai Mountains, Western Sub-basin (high sensitivity)
- Spring runoff fraction: 0.384
- 58-year seasonal shift: -37.6%
- Snow depth trend: -0.058 cm/year
- Conclusion: rapid shift toward rain-dominated regime

Hutubi River, Tianshan North Slope (low sensitivity)
- Spring runoff fraction: 0.377
- 58-year seasonal shift: -6.5%
- Snow depth trend: +0.009 cm/year (stable)
- Conclusion: weak signal, possibly buffered by glacier melt

These two watersheds have almost identical snow dependence (0.384 vs 0.377), yet their responses to warming are completely different. Traditional water source analysis cannot tell them apart. My method can.

Method background

Based on a published preprint (Ou, 2024, EarthArXiv).
Validated across 78 watersheds in the western United States and 14,406 grid points in Chinese mountains. Out-of-sample prediction: r = -0.405, p = 0.014.

Workflow

1. You provide watershed coordinates (longitude/latitude range) or a USGS station ID
2. I retrieve streamflow, snow depth, and climate data from public databases
3. I calculate the sensitivity indicators and determine the anchor type
4. I deliver a PDF diagnostic report

Turnaround

5 business days.

Important note

This service is for academic research reference only. It does not constitute a legally valid hydrological survey or water resource assessment. It is not intended for engineering approval, water rights argumentation, or final insurance pricing. All conclusions should be cross-validated with local in-situ observations.

Why choose me

- I am faster than traditional hydrology: I can screen dozens of watersheds in one week and identify the 10% that need detailed study
- I add a new dimension: not "how much snow water is there," but "how will the system behave under warming"
- I do not compete with traditional hydrology: I do pre-screening, they do detailed modeling. We are upstream and downstream.