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CW3E Welcomes Joseph Bursey

March 28, 2023

Joseph Bursey joined CW3E as a research project manager in March 2023. He received his BS in Biology from Winthrop University in Rock Hill, SC and then became manager for a plankton ecology research lab at NC State. Here, Joseph went on to also earn his Masters in Marine Science (2016) with research focusing on seasonal differences plankton in biodiversity, trophic cascades, and carbon energy transfer to upper trophic levels. Essentially who’s there seasonally, who’s eating who, and carbon energy movement through the food web in Bogue Sound, North Carolina.

After completing his masters degree, he became facility manager for an aquaculture research lab at NC State. Here, he worked on numerous larvae culture rearing projects with the scope to reduce overfishing by providing sustainable alternatives. He worked with PIs to meet their research needs at the facility and handled all facility maintenance and repairs. From here, he traveled across the country to become hatchery manager for a fish enhancement program at Hubbs Seaworld, San Diego where he managed a team to spawn and release thousands of fish.

Joseph is an avid wildlife photographer and musician and has a deep personal interest in mitigating human impacts on the environment. He has long aspired to join the Scripps Institution of Oceanographer to further his goal at a like-minded organization.

His role at CW3E will be serving as research project manager to help support Forecast Informed Reservoir Operations (FIRO). He looks forward to bringing his varied experience, managerial skills, and passion to CW3E research efforts to enhance CW3E’s ability to provide 21st Century water cycle science, technology and outreach to support effective policies and practices that address the impacts of extreme weather and water events on the environment, people and the economy of Western North America.

Undergraduates of AR Recon

March 27, 2023

CW3E would like to highlight two UC San Diego undergraduate students who were instrumental in the success of the annual CW3E-led Atmospheric River Reconnaissance effort. Both served in the role of flight track coordinator under the leadership of CW3E scientist Shawn Roj.

Kyle Hurley, originally from Crofton, Maryland, enlisted into the United States Marine Corps in 2016 where he deployed two times within four years and was honorably discharged in 2020. Since then, Kyle has achieved an associate’s degree in both Biology and Chemistry with honors. In April of 2022, Kyle Hurley was then accepted into UC San Diego to pursue a bachelor’s degree in Oceanic and Atmospheric Sciences. Kyle has high hopes of becoming a meteorologist, working in the field of severe weather. Kyle joined the CW3E team back in November of 2022.

Jackson Ludtke, of Silver Spring, Maryland, enrolled in UC San Diego in the fall of 2021. He is majoring in Urban Studies and Planning with minors in Geosciences and Climate Change Studies. After earning his private pilot’s license in the summer of 2021, Jackson plans on pursuing a career in aviation and hopes of flying for NOAA or the Coast Guard one day. The late Professor Jane Teranes helped Jackson realize how much he enjoys helping out on the logistical side of science. He has been working at the Center since December of 2021.

Kyle and Jackson have quickly learned how to work with the flight planning tool and develop flight tracks during the morning briefings. They have both served as the lead flight planning coordinator. It took a large, dedicated team to cover CW3E’s longest and most active AR Recon season, and Kyle and Jackson are looking forward to contributing next season.

New CW3E Award Represented at the Colorado River District’s State of the River Event

March 27, 2023

Colorado River District hosted the State of the River – Upper Yampa event on March 23, 2023, in Steamboat Springs, Colorado, with roughly 100 attendees. Madison Muxworthy, of Yampa Valley Sustainability Council, spoke on behalf of the project team working on Enhancing Soil Moisture Observations to Support Water Resource Management in the Upper Yampa River Basin. This project is led by PI Dr. Martin Ralph and includes staff from the Center for Western Weather and Water Extremes, Yampa Valley Sustainability Council, Colorado Mountain College, and Upper Yampa Water Conservancy District. The presentation focused on the future expansion of the Yampa Basin soil moisture monitoring network over the next three years, made possible by recent grant funding from Colorado River District’s Community Funding Partnership, Colorado Water Conservation District’s Water Plan Grant, and Upper Yampa Water Conservancy District. CW3E is really excited to be working with a group of stellar partners on such an impactful project to support robust monitoring in the region.

CW3E and Colorado Partners secure funding for soil moisture network expansion

March 27, 2023

CW3E, Yampa Valley Sustainability Council (YVSC) and key partners Upper Yampa Water Conservancy District (UYWCD) and Colorado Mountain College (CMC) have secured funding for the project, “Enhancing Soil Moisture Observations to Support Water Resource Management in the Upper Yampa River Basin.” This funding enables the project team to expand upon the first soil moisture monitoring station that was installed in the Yampa River Basin in September 2022 and install eight more stations over the next two years.

The expanding Yampa Basin soil moisture network measures moisture concentrations in the soil as well as soil and air temperature, precipitation, snow depth, fuel moisture, and other key climatic variables. Soil moisture data is key to understanding how snowpack relates to spring runoff and river flows. Snow-to-flow dynamics – or how much water is delivered to our rivers from our snowpack – are mediated by soil moisture. Drier soils in upland areas function like dry sponges and absorb water, reducing the amount of water delivered to rivers and thus reducing flows. The Yampa Basin is already experiencing changes in snow-to-flow dynamics, where normal snowpack years are followed by low spring and summer flows.

“The timing for the launch of the network is key,” said Dr. Michelle Stewart, Executive Director of YVSC. “Our snow-to-flow patterns have been changing considerably in recent years and monitoring soil moisture data is an important step towards a better understanding of how water in our basin is changing due to changing climate.”

The Yampa Basin soil moisture network stands to benefit forecasters, water managers, and water users to better understand water supply by increasing the understanding of soils, which Dr. Marty Ralph, Principal Investigator on the project and Director of CW3E, calls the “fourth reservoir” in
water planning. The primary types of reservoirs water managers think about are snow, rivers/streams, and reservoirs, but soils have been a missing part of the puzzle. The project goals are to reduce uncertainty in seasonal snowmelt runoff predictions and work with stakeholders in the Yampa Valley to appropriately integrate these data into water management decision support, including at sub-seasonal to seasonal forecast lead times ranging from weeks, months, and seasons. The network will be critical to establishing a baseline for long-term monitoring of new trends in soil moisture expected due to greater evapotranspiration – the cumulative transfer of moisture from soils and plants to the atmosphere – related to warming as climate changes.
The funding is an exciting development for the Basin because it allows for investments in infrastructure that increase resilience to water changes in the basin. According to Andy Rossi, General Manager of the UYWCD, “the data will be invaluable to UYWCD in forecasting runoff and assisting with reservoir and water resource management decisions,” and the hope is that, “this network will help close a data gap in the Yampa River Basin and serve as a useful tool for water managers in our basin and beyond.” UYWCD’s initial funding has been instrumental to the successful installation of this first station and an important anchor for building out the network.

Colorado Mountain College, which will partner to provide student career training in climate monitoring and instrument maintenance, sees the expansion of the network as an important contribution to regional workforce development. Dr. Nathan Stewart, Professor of Ecosystem Science and Sustainability, identifies this funding as integral to student career pathways in water. “Expansion of our region’s Soil Moisture monitoring network will provide us with a state-of-the-art platform for technical training in meteorology, hydrology, and ecosystem science,” he said. “Student engagement with this network is essential to the recruitment and development of our future western water workforce.”

The Yampa Basin soil moisture network began in 2021 when extreme drought conditions led CW3E and YVSC to partner with the UYWCD to identify critical areas for soil moisture monitoring in the basin through a basin analysis. In 2022, UYWCD funded the installation of the first soil moisture and surface meteorological monitoring station near Stagecoach Reservoir and the development of an online data portal site for project partners and public use.

This three year project was funded through a joint grant from the Colorado Water Conservation Board (CWCB) Water Plan Grants, Colorado River District’s (CRD) Community Funding Partnership and support from UYWCD.

“It is an exciting opportunity for our Center and key partners YVSC and CMC to pull together and create this network,” says Ralph. “It is envisioned as a pathfinder for the future. We are excited to be working closely with UYWCD, CRD, and CWCB to develop this capability and apply it to the special water management needs in the Yampa, from local to state and regional scales.”

This collaborative effort between CW3E, YVSC, CMC, and UYWCD includes additional project partners at Aspen Global Change Institute and Natural Resources Conservation Service.

CW3E Publication Notice: Deep Learning Forecast Uncertainty for Precipitation over Western US

CW3E Publication Notice

Deep Learning Forecast Uncertainty for Precipitation over Western US

March 24, 2023

The growing popularity of deep learning does not miss the numerical weather prediction community. CW3E researcher Weiming Hu, along with the co-authors Mohammadvaghef Ghazvinian, William E. Chapman (NCAR/UCAR Climate & Global Dynamics Lab), Agniv Sengupta, F. Martin Ralph, and Luca Delle Monache, recently published a paper titled “Deep Learning Forecast Uncertainty for Precipitation over Western US” in the Monthly Weather Review. The work contributes to the goals of CW3E’s 2019-2024 Strategic Plan to support Atmospheric River (AR) Research and Applications through the use of Emerging Technologies, namely Deep Learning-based post-processing algorithms.

This study focuses on uncertainty quantification for daily precipitation forecasts using a Deep Learning architecture, Unet, under the model output post-processing framework. For training, it leverages CW3E’s 34-year Reforecast dataset based on the West Weather Research and Forecasting (West-WRF) model available at a 3 km spatial resolution. Precipitation ground truth is obtained from the Parameter Elevation Regression on Independent Slopes Model (PRISM), which is a daily gridded precipitation dataset over the continental US at a 4 km spatial resolution. The Unet is trained to learn the non-linear relationship between the West-WRF and PRISM to calibrate precipitation forecasts. Unet has been tested for four water years conditioned on the state of the ENSO, namely 1997 (an El Niño year), 2011 (a La Niña year), 2013, and 2016 (ENSO neutral years) and compared with other benchmark methods involving parametric methods (censored, shifted Gamma distribution and mixed-type meta Gaussian distribution) and non-parametric methods (Analog Ensemble).

The main contribution of this work is the generation of probabilistic forecasts up to 4-day local lead times from a deterministic model, like West-WRF, with improved accuracy and reliability. Fig. 1 shows the study region (panel a), the deterministic (panels b and c), and probabilistic (panel d) skills of the proposed Unet model. Two metrics are used for deterministic verification – the Root Mean Square Error (RMSE) and the Pearson correlation. The Continuous Ranked Probability Score (CRPS) is used as the probabilistic metric. For all metrics, their skill scores are calculated against climatology with the higher being better. Unet consistently shows outperformance over other benchmark methods across all lead days.

Figure 1: (a) shows the study domain. (b, c, d) show deterministic (RMSE, correlation) and probabilistic (CRPS) verification aggregated from four test years and all grid points from the study region.

Fig. 2 presents the verification over space using the Brier score which is a metric that measures the accuracy of probabilistic forecasts. The skill score is compared with three different benchmark methods. Positive values (in green shading) indicate skill improvement in the Unet compared to the benchmark. Panels (a, b, c) reflect the model skill for detecting rain events (>1 mm). More importantly, panels (d ~ i) illustrate how Unet produces more accurate forecasts for extreme events (the 95-th and 99-th percentiles) over areas that are typically susceptible to strong precipitation.

Figure 2: Brier skill scores of Unet averaged from all lead days for three thresholds, 1 𝑚𝑚 (first row), 95% (second row), and 99% (third row) of the location-specific climatological distribution, against MMGD (first column), CSGD (second column), AnEn (third column); the fourth column is generated from PRISM. (j) shows a map of PoP using 1 𝑚𝑚 as the threshold, whereas (k) and (i) show the precipitation map for the 95-th and 99-th percentiles, respectively.

We also investigated the performance sensitivity to data volume sizes and found that Unet continues to learn non-linear relationships better than traditional methods and improves its performance as more data becomes available.

Hu, W., M. Ghazvinian, W. E. Chapman, A. Sengupta, F. M. Ralph, and L. Delle Monache, 2023: Deep Learning Forecast Uncertainty for Precipitation over Western US. Mon. Wea. Rev., https://doi.org/10.1175/MWR-D-22-0268.1, in press.

CW3E Event Summary: 20-22 March 2023

23 March 2023

Click here for a pdf of this information.

Atmospheric River Brings More Rain and Flooding to California and Arizona

An atmospheric river (AR) formed over the subtropical Northeast Pacific and made landfall in Southern California on 20 Mar
A surface cyclone developed on the cold side of the AR and underwent rapid intensification as it approached the Bay Area
AR2 conditions were observed in coastal San Diego County and southern Arizona
The AR produced at least 1–3 inches of precipitation across coastal Southern CA and North Central AZ, with the highest amounts (> 4 inches) observed in the San Gabriel Mountains, CA and Coconino County, AZ
Rainbands wrapping around the low-pressure center produced > 4 inches of precipitation in a 24-hour period in portions of San Mateo and Santa Cruz Counties
Lower snow levels during this storm (compared to the two previous storms) allowed for significant snowfall accumulations (> 12 inches) in the higher terrain of the Transverse Ranges
Two weak tornadoes were reported in California during this storm; an EF0 on 21 March in a trailer park near Carpinteria, CA and an EF1 on 22 March in an industrial area of Montebello, CA, both causing structural damage to multiple buildings
According to ABC7 News Bay Area, at least 5 people died during this storm, all struck by falling trees. Two fatalities were reported in San Francisco and one in Oakland, Portola Valley, and Rossmoor respectively. (Link to ABC7 News Bay Area Reporting)
Damage due to high winds, heavy rain, and flooding were reported across Southern California and in parts of Arizona

Click images to see loops of GFS IVT/IWV analyses Valid 0000 UTC 19 March – 0000 UTC 22 March 2023

Click image to see loops of NEXRAD Imagery from KMUX

Valid 1800 UTC 21 March – 2345 UTC 21 March 2023

Summary provided by S. Roj, C. Castellano, S. Bartlett, and J. Kalansky; 23 Mar 2023

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Ranking Atmospheric Rivers: New Study Finds World of Potential

March 21, 2023

In a new study, titled Global Application of the Atmospheric River Scale, CW3E collaborators Bin Guan (UCLA) and Duane E. Waliser (JPL), along with CW3E director Marty Ralph explore a wider geographic application of the atmospheric river (AR) scale for characterizing strength and communicating potential impacts of ARs. This work contributes to the goals of CW3E’s 2019-2024 Strategic Plan to lead AR Research and Applications because the paper proposes the first globally uniform AR scale for facilitating communication about ARs and intercomparing across different regions.

CW3E Event Summary: 9-15 March 2023

20 March 2023

Click here for a pdf of this information.

Atmospheric Rivers Produce Heavy Precipitation and Flooding in California

Two atmospheric rivers (ARs) made landfall over California during 9–15 Mar
These ARs were characterized by the transport of very warm, moist air from the tropical North Pacific into the midlatitudes
The first AR brought AR3 conditions (based on the Ralph et al. 2019 AR Scale) and IVT magnitudes > 750 kg m^-1 s^-1 to Monterey and Santa Cruz Counties
The second AR brought AR2 conditions and IVT magnitudes > 500 kg m^-1 s^-1 to Central and Southern California
The heaviest precipitation fell during the first AR in the Central and Southern Sierra Nevada, with some locations recording > 12 inches in a 3-day period and sustained precipitation rates > 0.5 inches/hour
High freezing levels limited snowfall accumulations below 7,000 feet in both storms
Snow survey stations located above 7,000 feet recorded 7-day SWE increases > 12 inches
High reservoir inflows prompted dam operators to open the main spillway and increase releases to > 15,000 cfs at Oroville Dam after the first AR
The combination of heavy rainfall and melting snowpack led to widespread riverine flooding across Northern and Central California
The most destructive flooding occurred along the Pajaro River in the community of Pajaro, CA, and along the Kern River in Kernville, CA
An EF-1 tornado caused structural damage to mobile homes and farms in Tuolumne County

Click images to see loops of GFS IVT/IWV analyses Valid 0000 UTC 9 March – 0000 UTC 16 March 2023

Summary provided by C. Castellano, S. Bartlett, S. Roj, and J. Kalansky; 20 Mar 2023

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CW3E Welcomes Ali Wolman

March 20, 2023

Ali Wolman joined CW3E’s Field Team as a Lab Assistant in January 2023. She travels to field sites and launches weather balloons to collect profiles of temperature, pressure, wind & moisture data, which is used to better understand and predict atmospheric rivers (ARs). When she isn’t in the field, Ali is helping organize the field team’s equipment & spaces. Ali also is working to update hands-on climate science programming for K-12 classes.

Prior to SIO, Ali worked in ocean research and science education. After earning a BS in Biology at Cal Poly San Luis Obispo focused on marine biology & conservation, she continued to work around the Central Coast. Ali stayed involved at Cal Poly in research as a SCUBA tech and worked to develop video-data collection technology using artificial intelligence to identify organisms in videos of the ocean floor. Ali also worked for NOAA, teaching marine biology at an informal science teaching center in San Simeon, CA. Before joining CW3E, she taught hands-on, classroom science at the Elementary Institute of Science in San Diego, CA.