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The NASA SnowEx Mission (2017-2023)

Photo credit: Kate Hale

Presented by: HP Marshall, SnowEx 2018-2021 Project Scientist, NASA GSFC

SnowEx Leadership Team: Carrie Vuyovich, Sveta Stuefer, H.P. Marshall, Kelly Elder, Mike Durand, Megan Mason, Dragos Vas, Chris Hiemstra

NASA Earth Sciences and UW Hackweek

19-23 August 2024, eScience Institute, Seattle, WA

https://tinyurl.com/4shkf2ah

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Why is seasonal snow important?�

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  • Approximately 2 billion people depend on seasonal snow for water supply. Seasonal snowmelt - over 70% of water resources in Western U.S.
  • Massive impact on surface albedo and global energy balance – over 1/3 of the Earth’s land surface covered by snow annually
  • Contributes to disasters (floods, droughts, avalanches, wildfires)
  • Patterns are changing - earlier melt, more frequent rain-on-snow, changing snowlines
  • But challenging to measure and model:
    • Length scale of variability in depth 20-200m
    • Dynamic changes on time scales of hours-days
    • No current satellite remote sensing product for SWE in mountainous regions
    • Models show widespread both temporally and spatially, largely due to uncertainties in forcing data

Solution to global snow monitoring: fusion of remote sensing, models, ground obs.

NASA Earth Sciences and UW Hackweek

19-23 August 2024, eScience Institute, Seattle, WA

https://tinyurl.com/4shkf2ah

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What is SnowEx?

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SnowEx is a multi-year coordinated airborne and ground experiment to evaluate different snow remote sensing technologies throughout the season in various landscapes. Results will help inform future snow satellite missions.

snow.nasa.gov

NASA Earth Sciences and UW Hackweek

19-23 August 2024, eScience Institute, Seattle, WA

https://tinyurl.com/4shkf2ah

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NASA SnowEx Mission and community events 2013-2024

NASA

Snow community meeting

3 legs of stool, airborne exp needed, gaps, SINTER formed

Grand Mesa, CO

Senator Beck, CO

Active/passive MW, albedo, lidar

Field effort w/ pits, depths, extensive ground-based remote sensing

SnowEx 2017

Seattle 2016

Community meeting

impact of forests on spaceborne SWE & albedo defined as priority gaps

Longmont 2017

Community Meeting

Summary of results, NSIDC data pubs, Working group of THP16 PIs formed

Boulder 2013

Boulder 2024

Community Meeting

SnowEx Science Plan, SnowEx 2020 Experimental Plan, Hackweek discussions

Grand Mesa, CO

5 aircraft, 7 airborne instruments, 3 week intensive field campaign

SnowEx 2020

SnowEx 2020-2021 Time Series

UAVSAR flies 16 sorties over 14 WUS sites, local teams deploy, 400+ snowpits, GPR, tower radar, LWC

Virtual 2020

Fairbanks & North Slope, AK

Tundra & Boreal forest focus, Radar SWE, lidar, SfM, multispectral

2 fall, 2 spring campaigns

NASA

Snow community meeting

Define remaining gaps. Form new collaborations. Plan for next decadal survey, NISAR, future EVS/EVM

Baltimore 2019

SnowEx Hackweeks 2020-2024

NASA/CUAHSI SnowSchools 2016-2024

SnowEx Alaska

2022-23

Community meeting

THP Snow Roadmap, future mission proposal opportunities, snow OSSE, SnowEx priorities

NASA Earth Sciences and UW Hackweek

19-23 August 2024, eScience Institute, Seattle, WA

https://tinyurl.com/4shkf2ah

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SnowEx Science Plan

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The Science Plan lays out a recommended SnowEx plan to test sensor capabilities and sensitivities and address the most critical gaps in snow remote sensing. Identified gaps in current capabilities:

  • Prairie snow
  • Tundra snow
  • Mountain Snow
  • Maritime snow

Durand, M., C. Gatebe, E. Kim, N. Molotch, T. Painter, M. Raleigh, M. Sandells, and C. Vuyovich, NASA SnowEx Science Plan: Assessing approaches for measuring water in Earth's seasonal snow, Version 1.6, 

  • Forests
  • Wet snow
  • Snow surface energetics

NASA Earth Sciences and UW Hackweek

19-23 August 2024, eScience Institute, Seattle, WA

https://tinyurl.com/4shkf2ah

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NASA SnowEx Science Plan Capabilities Chart

Current capabilities

from SnowEx

Science Plan

Rows =

  • sensing techniques
  • models

Columns =

  • gaps,
  • snow parameters,
  • space potential

no capability

Demonstrated, TRL>5

Potential, TRL 3-5?

Potential, TRL 1-2?

Capability Color Key

 Modeling 

Snow Characteristic

Gap Capabilities

Type

Snow Estimation Technique

Snow Depth

SWE

Melt

High-Res

Wet snow

Deep Snow

Forests

Complex Terrain

Shallow Snow

Clouds

Modeling

Physical Modeling

 

 

 

 

 

 

 

 

 

Radiative Transfer Modeling

 

 

 

 

 

 

 

 

 

 

Data-driven modeling

 

 

 

 

 

 

 

 

 

 

SWE and Snow Depth

Snow Characteristic

Gap Capabilities

Type

Snow Sensing Technique

Snow Depth

SWE

Melt

High-Res

Wet snow

Deep Snow

Forests

Complex Terrain

Shallow Snow

Clouds

SWE via Snow Depth

Spaceborne Lidar

Ka-band InSAR

Dual band Ku/Ka altimetry

SfM/Stereo

Wideband Radiometer

Volume scattering

X-/Ku-band SAR

Passive Microwave

C-band SAR

Signal interferom

L-Band/C-band InSAR

SoOP

Airborne / Ground Only

UWB FMCW Radar

Airborne Lidar

Gamma

 Surface Energetics

Snow Characteristic

Gap Capabilities

Snow Sensing Technique

Albedo

SCA

Melt

High-Res

Wet snow

Deep Snow

Forests

Complex Terrain

Shallow Snow

Clouds

Imaging Spectrometer

 

 

BRDF

 

 

Thermal IR

 

 

NASA Earth Sciences and UW Hackweek

19-23 August 2024, eScience Institute, Seattle, WA

https://tinyurl.com/4shkf2ah

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Primary Science Questions:

  1. What is the distribution of SWE and the snow energy balance in different canopy types, canopy densities, and terrain?
  2. What is the sensitivity and accuracy of different SWE sensing techniques in different canopy types, canopy densities, and terrain?
  3. What is the optimum combination of sensing techniques to measure SWE globally?

NASA SnowEx 2017

L-band InSAR results showing agreement with lidar and depth obs

Highlights:

  • 100 participants (scientists, students, international)
  • 24 institutions
  • 5 of 5 aircraft & 9 of 10 sensors flown
  • 154 snow pits; 165 transects
  • 30 ground remote sensors
  • Extensive community-building activities
  • Snow.nasa.gov website stood up
  • 1st SnowEx workshop Aug 2017; 92 attendees

NASA Earth Sciences and UW Hackweek

19-23 August 2024, eScience Institute, Seattle, WA

https://tinyurl.com/4shkf2ah

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Primary Objectives:

  1. Test L-band InSAR phase change for Δ SWE/snow depth among different snow climates & landscapes
  2. Test SWE retrieval from active & passive microwave
  3. Value of satellite thermal IR observations for energy balance & modeling

NASA SnowEx 2020

SWESARR Radar data collected over Grand Mesa, CO during the Feb 2020 IOP. The data were processed with a Time Domain Back Projection algorithm and used for snow water equivalent (SWE) retrieval.

Airborne observations collected:

  • L-band InSAR (UAVSAR)
  • Active/Passive microwave (SWESARR)
  • Thermal IR (U. of Washington)
  • Reigl 1560i Lidar (Quantum Spatial)
  • CASI hyperspectral (Quantum Spatial)
  • FMCW Radar (University of Alabama)
  • Gamma Airborne Survey (NOAA NOHRSC)

Satellite obs:

  • GOES – 16/17
  • ASTER
  • ECOSTRESS
  • ICESat-2
  • WorldView
  • Sentinel-1

Ground observations collected:

  • Snow Pits (>400)
  • Snow depth transects
  • Snow interval boards
  • Over 10 different ground-based remote sensing instruments, including (SMP, SSA, Radiometers, various-frequency GPR, TLS, soil moisture sensors)

Data Collected

Campaign design:

  • Over 100 students, researchers from 20+ organizations
  • Time Series of weekly to biweekly UAVSAR flights, Dec-March
  • Intensive observing period (IOP) in Grand Mesa, CO, Nov/Jan/Feb

09VH

13VH

17VH

09VV

13VV

17VV

L-band InSAR

Depth change (cm)

Lidar

Depth change (cm)

Preliminary results from SnowEx 2020 show good snow depth change agreement between L-band InSAR and lidar data: R-value = 0.76, RMSD=4.7cm depth, 0.9cm SWE.

2020 Experiment Plan

NASA Earth Sciences and UW Hackweek

19-23 August 2024, eScience Institute, Seattle, WA

https://tinyurl.com/4shkf2ah

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NASA SnowEx 2021

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Primary Objectives:

  1. Quantify the accuracy of L-band InSAR SWE retrievals in preparation for NISAR
  2. Define the snow conditions where L-band InSAR is likely to maintain coherence
  3. Evaluate the spatiotemporal variability in snow albedo, the controls on this variability, and the uncertainty of remote sensing measurements relative to mountains, forests, and as snow albedo declines over time.
  4. Characterize the spatial heterogeneity of snow characteristics at an agricultural site

SnowEx 2020 & 2021 Campaign sites

Dec, 2019 – Mar 2020; Dec 2020 – May 2021

Prairie site at Central Agricultural Research Center, MT (left) showing shallow snow redistributed by wind into ditches and fields. UAVSAR image of CARC (right).

NASA Airborne observations

Observation

Sensor

Aircraft

L-band InSAR

UAVSAR (JPL)

JSC GIII

Lidar and Hyperspectral

Reigl 1560i and CASI (QSI)

Dynamic Aviation A90

VIS-IR Imaging Spectrometer

AVIRIS-NG (JPL)

B-200 King Air

2021 Experiment Plan

NASA Earth Sciences and UW Hackweek

19-23 August 2024, eScience Institute, Seattle, WA

https://tinyurl.com/4shkf2ah

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NASA SnowEx 2023

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Understanding unique snow remote sensing challenges in the tundra and boreal forest

Primary Objectives:

  1. SWE:  How do microstructure accuracy and scaling issues impact the use of models to inform Ku-band volume scattering retrievals in tundra snow? How much does Ku-band penetrate forest canopies in boreal forests?
  2. Snow depth:  How well do snow depth retrieval methods (e.g., lidar and SfM) work where “bare earth” surfaces fluctuate, due to the variable permafrost, water, and vegetation characteristics ubiquitous at high latitudes?
  3. Snow albedo: What is the nature of spatial variability of snow reflectance/albedo and physical properties in the boreal forest, and how does it change with scale?

Airborne observations:

  • Active/Passive microwave (SWESARR)
  • Riegl VQ-580ii Lidar (UAF)
  • Nikon D850 optical imager (UAF)
  • VIS-IR Imaging Spectrometer (AVIRIS-NG, JPL)

Satellite obs:

  • ICESat-2
  • Worldview
  • Pleaides-HR
  • BlackSky
  • Planet SkySat-C
  • Capella
  • ICEYE
  • Sentinel 1A

Ground observations:

  • Snow Pits (>169)
  • Snow depth (>30,000)
  • Snow depth profiles (>3500)
  • Snow interval boards
  • Over 10 different ground-based remote sensing instruments, including (SMP, SSA, various-frequency GPR, C-band radar, TLS, LWC)

Data Collected

2023 Experiment Plan

NASA Earth Sciences and UW Hackweek

19-23 August 2024, eScience Institute, Seattle, WA

https://tinyurl.com/4shkf2ah

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NASA Terrestrial Hydrology Program SnowEx Summary:

NRL P-3

Twin Otter

Cessna 206

Four SnowEx campaigns were conducted at 20 different locations in the Western US and Alaska (red dots). Base map shows snow classes defined in Sturm & Liston (2021). Map credit: Svetlana Stuefer, UAF

NASA SnowEx, Accomplishments to Date

  • Over 250 Participants
  • From 49 Institutions
  • 8 Aircraft
  • 14 Airborne Instruments
  • 184 Individual Datasets
  • >40 Publications using SnowEx data
  • 26 PhD Dissertations and 6 Masters Theses complete or in progress
  • 2 satellite mission proposals to the Earth System Explorer solicitation

SnowEx References

What’s missing?

NASA Earth Sciences and UW Hackweek

19-23 August 2024, eScience Institute, Seattle, WA

https://tinyurl.com/4shkf2ah

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SnowEx Data

Data collected through instrumentation and processing funded by the Terrestrial Hydrology Program (THP).

Partnered Data

Data collected through partnerships outside of the THP resources, with the agreement of being shareable and publicly accessible.

Data Inventory Update

Provided by Megan Mason, NASA GSFC

SnowEx Data Inventory

NASA Earth Sciences and UW Hackweek

19-23 August 2024, eScience Institute, Seattle, WA

https://tinyurl.com/4shkf2ah

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SnowEx Publications – Gaps Addressed

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Science Plan Gaps

Forest

(13)

Mountain

(8)

(5)

Wet Snow (4)

(1)

Prairie (2)

Surface Energetics (3)

Global focus

(8)

Other (1)

*Not specifically addressed (yet):

  • Maritime
  • Tundra
  • Uncertainty estimates focused on specific gaps
  • Strong focus on forest questions (18) address main objectives of SnowEx
  • Several algorithm development and basic measurement studies can be broadly applied

NASA Earth Sciences and UW Hackweek

19-23 August 2024, eScience Institute, Seattle, WA

https://tinyurl.com/4shkf2ah

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Outreach

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SnowEx-MAIANSE Internships, 2000-present

  • 7 Interns to date from American Indian and Alaska Native serving institutions
  • Projects developed based on SnowEx data needs & student interest and ongoing local activities
  • Student paired with mentor to work on the project

University of Alaska student measuring SWE at Fairbanks campus during SnowEx 2023

Fond Du Lac Tribal and Community College students measuring SWE at Minnesota campus location

SnowEX-ED: NASA STEAM Education With Snow

To bring the excitement and science of SnowEx to the public:

  1. Designed and built snow science kits (~800)
  2. Distributed these across the US through outdoor schools & nature centers
  3. Facilitated press releases highlighting snow science and society’s reliance on snow for water
  4. Delivered fun in-person outdoor snow experiences to thousands of adults and youths across Alaska.

NASA Earth Sciences and UW Hackweek

19-23 August 2024, eScience Institute, Seattle, WA

https://tinyurl.com/4shkf2ah

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Community Training

Hackweeks

Hackweeks are participant-driven workshops designed to foster collaboration, provide education in the tools and methods of open science, and align community members around shared software and NASA datasets. https://snowex.hackweek.io/

CUAHSI Field Measurement Schools

4-day hands-on field school; prepare researchers at all career levels to make quality field observations using standard techniques (depth, density, temperature, grain size/type, SWE, etc), in addition to some exposure to new technologies

  • K-12 program that takes over 35,000 students into the snow environment to teach science. 80+ local programs across the U.S.
  • Students learn the importance of snow, how to measure SWE, depth, stratigraphy, in addition to winter ecology, shelter building, etc
  • Pre/Post classroom visits, demonstrated increases in learning
  • Students made measurements for SnowEx, improved SnowSchool curriculum

Winter Wildlands Alliance Snow School

NASA Earth Sciences and UW Hackweek

19-23 August 2024, eScience Institute, Seattle, WA

https://tinyurl.com/4shkf2ah

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What next for the snow community?

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  • Goal of SnowEx – improve understanding for satellite-based snow retrievals
  • Better prepared for SBG, NISAR
  • Two SWE satellite proposals submitted in 2023. Both rejected 2024.
  • EVS mission proposal (SnowEx follow-on) airborne campaign rejected.
  • Grass-roots effort needed to keep momentum. We are the underdogs. Hackweeks are critical for this effort.
  • Projects during Hackweek can lead to long term collaborations, working groups, open science
  • UAVSAR_pytools, ML with time lapse cameras, thermal IR work
  • Projects can build on each other!
  • Snowmelt detection, fSCA -> required for all radar retrieval efforts
  • Microstructure -> required for Ku-band SAR retrieval
  • SnowEx SQL database / NSDIC access -> required for sensor fusion, technique comparison
  • Fusion products (e.g. radar + lidar) -> more robust cal/val information

NASA Earth Sciences and UW Hackweek

19-23 August 2024, eScience Institute, Seattle, WA

https://tinyurl.com/4shkf2ah

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SnowEx Collaborations & Partnerships

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NASA Earth Sciences and UW Hackweek

19-23 August 2024, eScience Institute, Seattle, WA

https://tinyurl.com/4shkf2ah

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Snow science is a team sport!

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NASA Earth Sciences and UW Hackweek

19-23 August 2024, eScience Institute, Seattle, WA

https://tinyurl.com/4shkf2ah