Alaska · Arctic hydrology

Where does
Alaska’s water go?

A changing climate. A changing water balance.
I study how much precipitation becomes runoff—and why that fraction changes.

Conceptual landscape showing precipitation entering a basin, evaporation returning water to the atmosphere, runoff leaving the basin, and terrestrial water storage
Conceptual water-balance illustration. Not simulation output.
RP

01 / The question

One ratio.
A view of the water balance.

R/P is the fraction of precipitation that becomes runoff. I examine how it varies across Alaska’s climate regions, how it may change under mid-century warming, and which processes contribute to those changes.

About this research

Historical and projected changes in Alaska’s runoff-to-precipitation ratio. Research at the University at Buffalo’s A.C.T. Hydrology Lab, advised by Dr. Yifan Cheng.

02 / The data

Regional questions.
High-resolution data.

I analyze existing RASM simulation data to examine historical patterns and projected changes across Alaska.

4 km

Spatial resolution
of the RASM dataset

Alaska study region
Geographic context · Alaska
Historical patterns

Understand the baseline.

Examine how R/P varies across Alaska’s diverse climate regions.

Projected change

Explore a warmer climate.

Compare historical conditions with mid-century warming scenarios.

Inside the RASM framework

The RASM configuration used to produce the dataset couples the WRF 3 atmosphere and CTSM land model through CPL 7. Sea-surface temperature and sea ice are prescribed from ERA5; streamflow is computed offline with MizuRoute.

RASM framework: WRF 3 atmosphere and CTSM land exchange fluxes through CPL 7. Prescribed ERA5 sea-surface temperature and sea ice feed the coupler. CTSM supplies offline MizuRoute streamflow routing.
RASM model components and flux connections, redrawn from the supplied framework. View SVG ↗ · Original diagram

This is the model framework behind the data. My work analyzes its outputs using the Budyko-based attribution framework described below.

Dataset, scenarios & analysis tools
Dataset
4-km RASM coupled land–atmosphere simulation data.
Scenarios
Historical conditions, PGW and DDD scenarios.
My contribution
Geospatial analysis and water-energy balance attribution of R/P changes.
Tools
Python and a Budyko-based attribution framework.

03 / The explanation

See the change.
Investigate the drivers.

A change in runoff is the starting point. I use a Budyko-based water-energy balance framework to separate the contributions of four controlling factors.

Water supply

Precipitation entering the system.

Evaporative demand

The atmosphere’s potential demand for water.

Water storage

Changes in terrestrial water storage.

Basin characteristics

Effective basin properties represented in the framework.

How the attribution fits together

The analysis uses a Budyko-based framework to attribute changes in R/P to precipitation supply, evaporative demand, terrestrial water storage, and effective basin characteristics. These contributions provide a framework-based interpretation of the regional hydrologic response.

04 / Related experience

Different landscapes.
Connected questions.

Previous projects explore sea ice, coastal ecosystems, and river runoff.

Research poster about sea-ice season and ecosystem response

MITACS Globalink Research Internship · 2024

Climate impacts on sea-ice season and ecosystem response

Supervisor: Prof. Paul Myers, University of Alberta

Explore the methods
  • Analyzed changes in sea-ice concentration, thickness, and spatial structure in Baffin Bay, the Labrador Sea, and Hudson Bay.
  • Evaluated ice-free-season changes through breakup and freeze-up timing.
  • Examined relationships between sea-ice change and biogeochemical patterns.
Maps of coastal land-use and habitat-quality analysis

NUIST · 2023–2024

Land-use change and habitat quality in China’s coastal zone

Supervisor: Prof. Chengyi Zhao

Explore the methods
  • Coupled PLUS and InVEST to project land-use patterns and assess habitat quality from 2020 to 2060 under three SSP scenarios.
  • Evaluated drivers of habitat-quality change and the contribution of land-cover transitions to ecosystem degradation.
Runoff analysis for the upper Yangtze River basin

NUIST · 2022–2024

Anthropogenic climate-change impacts on upper Yangtze runoff

Supervisor: Prof. Buda Su

Explore the methods
  • Developed a random-forest model using temperature and precipitation to estimate runoff under different forcing scenarios.
  • Compared anthropogenic-plus-natural and natural-only forcing to assess changes in annual, monthly, and extreme discharge.