J. Bryan Curtis Email & Phone Number
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J. Bryan Curtis is listed as Principal and Founder at WaterDataOps, based in Vail, Colorado, United States. AeroLeads shows a matched LinkedIn profile for J. Bryan Curtis.
J. Bryan Curtis previously worked as Freelance Software Engineer at Self-Employed and Water Conservation Data Analyst at Eagle River Water And Sanitation District. J. Bryan Curtis holds Master'S Degree, Climatology from University Of Colorado Boulder.
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About J. Bryan Curtis
Conservation is a way of life AND a job that requires thoughtful data management across the entire data pipeline and applications to enhance water utility efficiency and conservation efforts. I am passionate about quantifying the full water cycle, from hydrometeors to tap, with direct observations and creative analytics so that humans can sustainably balance water budgets.
Listed skills include Weather, Research And Development, Trimble Gps, Git, and 46 others.
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J. Bryan Curtis work experience
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Freelance Software Engineer
Water Conservation Data Analyst
CurrentPerforming data transformations and creative analytics to conserve water within the Eagle River Watershed. Setting water meter rates that promote conservation while simultaneously improving the fiscal health of the District. Utilizing sound and objectionable data pipelines built with reproducible data engineering and science. Ensuring water is available for the basic needs of our customers now and indefinitely. Producing data products and applications for internal and customer use that are efficient, intuitive, and inclusive. Setting an example for all downstream Colorado River Water Utilities for water conservation. Every decision and action, from data filtering to customer engagement, is directly tied to conserving water.
Weather Data Scientist
Weather Data Scientist for AgWeatherNet (AWN) - Washington State University responsible for an "end-to-end" quality assurance and control system for AWN's meteorological observation network of over 220 weather stations across the State of Washington. I quantify uncertainty in weather observations through direct hardware inter-comparisons and statistical models (probabilistic, machine learning) informed by climatology and terrain complexity. I maintain and update MySQL and MariaDB databases to optimize data storage and engineering for server applications. I write reproducible, contained, and automated quality control algorithms (e.g. station specific range limits based on climatology), quality assurance checks (e.g. comparisons to gridded weather forecast model output) and data applications/visualizations (e.g. network wide station correlation tool) in R and Python that run in a cloud environment on near-real time data streams. Alongside my data scientist tasks, I perform novel sensor testing/prototyping and network integration (e.g. Vaisala AQT530 air quality sensor, Vaisala PWD12 and Campbell Scientific CS125 Present Weather and Visibility Sensors, EKO MS-80SH pyranometer, Lufft WS100 Radar Precipitation Sensor, Lufft Ventus-X Ultrasonic Wind Sensor, Apogee SI-111 Infrared Radiometer, Apogee SF-421 Radiation Frost Detector, Vaisala WXT 533/536 "all-in-one" stations, LI-COR eddy-covariance system), field/lab sensor calibration and maintenance, and site construction of 10-meter meteorological towers.Every day in this role I support Washington State farm operations by improving agricultural models dependent on high quality weather observations. I leverage my ecological and environmental sensing background to prioritize quality controls, incorporate new sensing technology and deliver pertinent weather information. Ultimately, the products I produce as part of the AWN team are used by the variety of government, industry, and public of Washington State.
Graduate Research Assistant
• Designed and installed a snow course network of 45 snow board sampling locations for storm specific measurements of snow water equivalent (SWE) and snow depth within the Como Creek water catchment between the CU Boulder Mountain Research Station and Niwot Ridge, Colorado.• Derived wind-shelter indices, relevant to subalpine preferential snow accumulation, using a combination of manual snow observations, forest structure, topography, and wind flow models (linearized with surface roughness and/or computational fluid dynamics).• Incorporated spatially distributed observations of newly deposited snow (storm specific SWE and depth), representing spatial SWE and precipitation inputs, into the Distributed Hydrology Soil Vegetation Model (DHSVM) used to model snowmelt and streamflow. • Compared spatially distributed snow board measurements to nearby Snow Telemetry (SNOTEL, Niwot) to assess the spatial representativeness of SNOTEL SWE and depth.• Designed and built precipitation gauge demonstration, “gauge errors during wind and snow”, performed at a Boulder Public Library public outreach event.• Developed a Bayesian hierarchical regression statistical model to correct a long-term Belfort weighing precipitation gauge with information from co-located disdrometer (hydrometeor size and fall speed), U.S. Climate Reference Network (USCRN) Geonor gauge, wind anemometer, and aspirated air temperature and humidity sensors (Vaisala HMP). • Managed, analyzed, and visualized over 20 GB of OTT Parsivel2 laser disdrometer precipitation data from the Niwot Ridge, CO subalpine. Subsequently used derived hydrometeor characteristics in a Bayesian gauge correction model.• Processed 10 years of alpine eddy covariance meteorological data with up-to-date net ecosystem exchange partitioning methods. Produced automated quality control and data archival R scripts for ongoing alpine surface flux and meteorological data collection.
Graduate Teaching Assistant
Teaching Assistant: Principles of Climate (GEOG 3601, CU Boulder) • Taught the Mountain Hydrometeorology section of the course (one full week). Explained principles of mountain water resources and orographic precipitation.Co-Instructor: Advanced Snow Methods (GEOG 5100, CU Boulder) • Integration of manual and radar snowfall measurements for the estimation of snow water equivalent and snowpack developmentTeaching Assistant: Landscapes and Water (GEOG 1011, CU Boulder) • Ran laboratory classes and field trips on: streamflow and hydrological measurements, stream channels and fluvial landforms, glacial landforms, and river restoration. Demonstrated the use of hydrographs and hyetographs for interpreting seasonal and historic stream discharge dynamics.Teaching Assistant: Mountain Geography (GEOG 3251, CU Boulder) Teaching Assistant: Climate and Vegetation (GEOG 1001, CU Boulder) • Instructed and facilitated physical geography labs with mapping focusTeaching Assistant: Biometeorology (GEOG 4201, CU Boulder)
Field Research Consultant
• Provided general field support, including collecting micrometeorological and environmental data, installing remote site power, and heavy equipment logistics.• Installed subsurface temperature probes for permafrost monitoring.
Senior Research Associate
*Promoted to senior level February 2014• Increased the field productivity of the Department of Energy’s Next Generation Ecosystem Experiments (NGEE) - Arctic Climate and Biogeochemistry programs that led to recognition with a SPOT award. Duties included soil water sampling, biogeochemical analyses, and micrometeorological measurements of the Arctic tundra ecosystem with a variety of instrumentation, e.g. field gas analyzer (CO2, CH4, and H2O), net radiometer (four component long and shortwave radiation, energy balance), infrared surface temperature, time domain reflectometry soil moisture and sonic distance snow depth.• Designed, built and deployed NGEE-Arctic Tram, a fully autonomous micrometeorological platform with spatiotemporal sensing capabilities. Responsible for maintaining the NGEE-Arctic Tram which included installing and adjusting ~70 meters of elevated track, performing maintenance on motor, drive belts, and wheels, and calibrating the instrument package that consisted of RGB, thermal, and hyper-spectral cameras, net radiometer, infrared surface temperature, photosynthetically active radiation, and snow depth sensors. Programmed datalogger, with LBL engineer, for automation and sensor operation. Directly responsible for the operation of Tram for three consecutive seasons (2014-2016) at the Barrow Environmental Observatory.• Managed, processed, analyzed, and presented field data. Created 900 MHz radio and Wi-Fi links for field transmission of data that was autonomously collected with Campbell Scientific software (Loggernet). Responsible for data processing with R programming language and data wrangling into time series formats, ultimately leading to spatiotemporal visualizations, quality control procedures, and data analysis.• Contributed material and visualizations for grant preparations and project reports.
Junior Specialist
Junior Specialist for the Strauss Lab in the Evolution and Ecology Department• Conducted multiple field, lab, and greenhouse projects that involved substantial amounts of data collection, entry, and organization.• Collected soil, plant trait, and animal herbivory information for project investigating plant adaptation to serpentine soils in the Sierra Nevada and Coast Range of California.• Managed large field experiment at Bodega Bay Marine Reserve (coastal highlands) that investigated how the relationship between phylogenetic distance and ecological similarity controls community assembly. Work involved field seed sowing and across a variety of local biomes and ecological communities along with regular plant surveys and biomass harvests.• Assisted with field surveys and seed collection of invasive Brassica sp. populations.
Research Assistant
Global Observation Research Initiative in Alpine Environments (GLORIA)• Conducted mountain top vegetation surveys and weather station maintenance.
J. Bryan Curtis education
Master'S Degree, Climatology
Bachelor'S Degree, Ecology
Snow
Frequently asked questions about J. Bryan Curtis
Quick answers generated from the profile data available on this page.
What company does J. Bryan Curtis work for?
J. Bryan Curtis works for WaterDataOps.
What is J. Bryan Curtis's role at WaterDataOps?
J. Bryan Curtis is listed as Principal and Founder at WaterDataOps.
Where is J. Bryan Curtis based?
J. Bryan Curtis is based in Vail, Colorado, United States while working with WaterDataOps.
What companies has J. Bryan Curtis worked for?
J. Bryan Curtis has worked for Waterdataops, Self-Employed, Eagle River Water And Sanitation District, Washington State University, and University Of Colorado Boulder.
How can I contact J. Bryan Curtis?
You can use AeroLeads to view verified contact signals for J. Bryan Curtis at WaterDataOps, including work email, phone, and LinkedIn data when available.
What schools did J. Bryan Curtis attend?
J. Bryan Curtis holds Master'S Degree, Climatology from University Of Colorado Boulder.
What skills is J. Bryan Curtis known for?
J. Bryan Curtis is listed with skills including Weather, Research And Development, Trimble Gps, Git, Amazon Web Services, Weather Forecasting, Linux, and Data Science.
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