S. Raffuse

发表

Machine Learning Approach To Estimate Hourly Exposure to Fine Particulate Matter for Urban, Rural, and Remote Populations during Wildfire Seasons.

M. Brauer, S. Henderson, Jiayun Yao, 2018, Environmental science & technology.

Predicting the minimum height of forest fire smoke within the atmosphere using machine learning and data from the CALIPSO satellite

M. Brauer, S. Henderson, D. Bowman, 2018 .

The BlueSky smoke modeling framework

D. Sullivan, S. Raffuse, T. Strand, 2008 .

Spatiotemporal prediction of fine particulate matter during the 2008 northern California wildfires using machine learning.

G. Pfister, M. Jerrett, P. Morefield, 2015, Environmental science & technology.

An Evaluation of Modeled Plume Injection Height with Satellite-Derived Observed Plume Height

D. Sullivan, S. Raffuse, N. Wheeler, 2012 .

Identification of Necessary Conditions for Arctic Transport of Smoke from United States Fires

Steven G. Brown, H. Hafner, J. deWinter, 2012 .

A NEW DECISION SUPPORT SYSTEM BASED ON A SERVICE-ORIENTED ARCHITECTURE

S. Drury, S. Raffuse, N. Wheeler, 2010 .

Intercomparison of Fire Size, Fuel Loading, Fuel Consumption, and Smoke Emissions Estimates on the 2006 Tripod Fire, Washington, USA

S. Drury, S. Raffuse, Erin M. Banwell, 2014, Fire Ecology.

AN EVALUATION OF MODELED PLUME RISE WITH SATELLITE DATA

D. Sullivan, S. Raffuse, N. Wheeler, 2009 .

PHASE 1 OF THE SMOKE AND EMISSIONS MODEL INTERCOMPARISON PROJECT (SEMIP): CREATION OF SEMIP AND EVALUATION OF CURRENT MODELS

S. Drury, H. Hafner, S. Raffuse, 2012 .

THE SMOKE AND EMISSIONS MODEL INTERCOMPARISION PROJECT

D. Sullivan, S. Raffuse, N. Wheeler, 2009 .

Assessing satellite-based fire data for use in the National Emissions Inventory

Dave Randall, Amber J. Soja, Tom Moore, 2009 .

A multi-analysis approach for estimating regional health impacts from the 2017 Northern California wildfires

F. Freedman, M. Al-Hamdan, J. Vargo, 2021, Journal of the Air & Waste Management Association.

Source Apportionment of Fine Particulate Matter in Phoenix, AZ, Using Positive Matrix Factorization

Steven G. Brown, H. Hafner, S. Raffuse, 2007, Journal of the Air & Waste Management Association.

SMARTFIRE Algorithm Description

S. Raffuse, T. Strand, N. Larkin, 2010 .

Wildland fire emissions, carbon, and climate: U.S. emissions inventories

S. Raffuse, T. Strand, N. Larkin, 2014 .

Apportioning Smoke Impacts of 2018 Wildfires on Eastern Sierra Nevada Sites

S. Raffuse, L. Tarnay, S. Mueller, 2020 .

Analyses of BlueSky Gateway PM2.5 predictions during the 2007 southern and 2008 northern California fires

D. Sullivan, S. Raffuse, N. Wheeler, 2012 .

DEVELOPMENT OF WILDLAND FIRE EMISSION INVENTORIES WITH THE BLUESKY SMOKE MODELING FRAMEWORK

Erin K. Gilliland, T. G. Pace, D. Sullivan, 2008 .

Development and Sensitivity Analysis of Wildland Fire Emission Inventories for 2002-2006

Erin K. Gilliland, Dana Coe Sullivan, Sean M. Raffuse, 2008 .

Comparison of recent speciated PM2.5 data from collocated CSN and IMPROVE measurements

N. Hyslop, S. Raffuse, K. Gorham, 2021 .

Estimating Wildfire Smoke Concentrations during the October 2017 California Fires through BME Space/Time Data Fusion of Observed, Modeled, and Satellite-Derived PM2.5.

Stephen B. Reid, J. West, M. Serre, 2020, Environmental science & technology.

Will the Circle Be Unbroken: A History of the U.S. National Ambient Air Quality Standards

David E. Campbell, Mark J. Fitch, N. Clark, 2007, Journal of the Air & Waste Management Association.

Intercomparison of thermal–optical carbon measurements by Sunset and Desert Research Institute (DRI) analyzers using the IMPROVE_A protocol

N. Hyslop, S. Raffuse, Krystyna Trzepla, 2021 .

A model for rapid PM2.5 exposure estimates in wildfire conditions using routinely available data: rapidfire v0.1.3

S. Raffuse, Susan O'Neill, Rebecca Schmidt, 2024, Geoscientific Model Development.