HelioWebMicrosoft Corporation, Washington
flowchart
I[Microsoft Corporation, Washington]
PI["Parent Institutions (0)"]
CI["Child Institutions (1)"]
AW["Affiliated Works (97)"]
CA["Linked Collaborating Authors (3)"]
I== skos:broader ==>PI
CI== skos:broader ==>I
AW== affil ==>I
AW== author ==>CA
click PI "#parent-institutions"
click CI "#child-institutions"
click AW "#affiliated-works"
click CA "#collaborating-authors"
Parent Institutions [?]
Child Institutions [?]
Affiliated Works
sorted by decreasing year, and then by display-name
- Seamonster Education: A Sensor Network Project in Southeast Alaska
- Seamonster: A Smart Sensor Web in Southeast Alaska
- Creating and Accessing the Global Fluxnet Data Set
- Lessons Learned from the Deployment of a Hydrologic Science Observations Data Model
- OLAP Cube Visualization of Hydrologic Data Catalogs
- Providing a virtual tour of a glacial watershed
- Sensor Webs in Digital Earth
- Simple environmental sensor webs for classroom inquiry
- The SEAMONSTER Sensor Web: Lessons and Opportunities after One Year
- Unifying Diverse Watershed Data to Enable Analysis
- A data model for environmental scientists
- A wireless partially glaciated watershed in a virtual globe: Integrating data, models, and visualization to increase climate change understanding
- Automatic Provenance Recording for Scientific Data using Trident
- Cyberinfrastructure at IRIS: Challenges and Solutions Providing Integrated Data Access to EarthScope and Other Earth Science Data
- Deriving "Daily" Variables from the Ameriflux Standard Eddy Covariance Data Set
- Glacier Change and Biologic Succession: a new Alaska Summer Research Academy (ASRA) Science Camp Module for Grades 8-12 in Glacier Bay National Park, Alaska
- Interaction Support for the Global Fluxnet Data Set
- Linking Management Actions to Interactive Ecosystem Report Cards via an Ontology
- Pain and Gaps in IT Infusion
- SciScope: Using Virtual Globes for Environmental Data Discovery
- Sensor Webs and Virtual Globes: Enabling Understanding of Changes in a partially Glaciated Watershed
- The Message is in the Data (not the Medium): Results From a Secondary-level Environmental Science Workshop
- A Cloud Computing Service for Remote Sensing Data Reprojection and Science Reduction
- A dynamic physical characterization of the receding Mendenhall Glacier lake front terminus Juneau, Alaska
- A sensor network driven micrometeorology study in the Serro do Mar rainforest canopy, southeast Brazil
- Diurnal pH variations of a Glacial Stream: a starting point for Inquiry-driven student and teacher Investigations of a Glacial Ecosystem
- Experiences Developing a Collaborative Data Sharing Portal for FLUXNET
- Restoration Hydrology: Synthesis of Hydrologic Data for Historical Analysis
- Spatial and temporal variability of evapotranspiration derived from MODIS and FLUXNET over US from 2001 to 2008
- The Alaska Soil Carbon Database: A Powerful Database for Soil Carbon Synthesis and Modeling
- Worldwide Telescope as an earth and planetary science educational platform
- BingEO: Enable Distributed Earth Observation Data for Environmental Research
- Comparing Annual Evapotranspiration Estimates at the Watershed Scale Using Geospatial Satellite and Rainfall-Runoff Data
- Continuous monitoring of dissolved organic matter fluxes in contrasting glacial and non-glacial watersheds in coastal Southeast Alaska
- Developing Data Analysis Infrastructure to Support Regional and Global Scale Synthesis
- Early results from a terrestrial-marine BGC coupling study in Southeast Alaska
- Large-scale seasonal changes in leaf cover over the Amazon basin are explained by variations in solar radiation
- MODIS-based global terrestrial estimates of gross primary productivity and evapotranspiration
- A Fully Data-Constrained Benchmark Global Vegetation Model for Identifying Priority Sources of Uncertainty and Facilitating Rapid Model Refinement
- A Radiocarbon Database for Improving Understanding of Global Soil Carbon Dynamics: Part I
- Automated Water Balance Estimates of Yearly Watershed Evapotranspiration Across California
- Bias and Variance in Coarse Resolution Evapotranspiration Flux Models Using Modis Data
- Enabling Data Synthesis at Fluxdata.org: Lessons Learned
- Inclusion of trait diversity in a Dynamic Global Vegetation Model
- Visualizing DOM super-spectrum covariance in vanKrevelen space
- Biome vs. Species Traits: What Is the Best Scale for Phenology Models?
- Community Access to MODIS Satellite Reprojection and Reduction Pipeline and Data Sets
- Four+ Years of Measurements from the Mendenhall Glacier Terminus
- Participatory System Science: Multi-Level Comprehension Through a Game-like Process
- Uncover the Cloud for Geospatial Sciences and Applications to Adopt Cloud Computing
- Improved Access to Scientific Data Through Technology, Standards, and Best Practices
- Improving global soil carbon predictions with data-constrained microbial based models
- Increasing biological diversity in a dynamic vegetation model and consequences for simulated response to climate change
- Leveraging Crowdsourcing and Linked Open Data for Geoscience Data Sharing and Discovery
- MBARI CANON Experiment Visualization and Analysis
- Plant Nitrogen Uptake in Terrestrial Biogeochemical Models
- Simulated crop yield in response to changes in climate and agricultural practices: results from a simple process based model
- The financial value of uncertainty in terrestrial carbon
- Theoretical analysis of the global land carbon cycle: what determines the trajectory of future carbon uptake?
- Building Cyberinfrastructure to Support a Real-time National Flood Model
- Characterizing real-time forest disturbance in a dynamic land surface model with implications for operational streamflow forecasting using WRF-Hydro
- Functional and Structural Optimality in Plant Growth: A Crop Modelling Case Study
- Importance of modelling microbial dynamics in soil: evaluation of conventional and microbial soil models informed by observations across various plant functional types
- Joined-up Planetary Information, in the Cloud and on Devices.
- Machine Learning on Images: Combining Passive Microwave and Optical Data to Estimate Snow Water Equivalent
- River Network Modeling Beyond Discharge at Gauges
- Understanding the Dynamics of Soil Carbon in CMIP5 Models
- Cloud-Based Computational Tools for Earth Science Applications
- Combining Passive Microwave and Optical Data to Estimate Snow Water Equivalent in Afghanistan's Hindu Kush
- Different representations of biological nitrogen fixation cause major variation in projected terrestrial biosphere responses to elevated levels of atmospheric CO<SUB>2</SUB>
- Enabling joined-up decision making with geotemporal information
- Exposing variation to aid climate change risk assessment
- Lightweight Data Systems in the Cloud: Costs, Benefits and Best Practices
- Terrestrial carbon storage dynamics: Chasing a moving target
- Next-generation soil decomposition models: representing ecological process complexity across scales
- Statistical and Hybrid Approaches to Predicting Reservoir Inflows During Flood Events
- Assessing Uncertainty in Deep Learning Techniques that Identify Atmospheric Rivers in Climate Simulations
- ClimateNet: A Machine Learning dataset for Climate Science Research
- Deep Learning for Extreme Weather Detection
- Examining the Effect of Temperature, Pressure, Seismicity and Diffuse Fluid Flow on Floc Events at Axial Seamount
- ClimateNet: bringing the power of Deep Learning to the climate community via open datasets and architectures
- Deep Learning recognizes weather and climate patterns
- Tracking and Predicting Extreme Climate Events
- Addressing magnetic interference in small spacecraft with machine learning
- Applying Machine Learning to Improve Subseasonal to Seasonal (S2S) Forecasts
- Deep learning forecasts of gridded 500-hPa geopotential heights on short-range to seasonal time scales
- Distributed Inference and API Hosting for an Image Analysis Service: A Case Study on Land Cover Mapping
- SunPy v1.0, the community-developed, free and open-source solar data analysis environment for Python.
- Architecture, Principles and Practices for Enterprise Ready, Multi-Cloud Spatiotemporal Data Platforms
- Comparison of three approaches to 1km resolution CO2 and CO emission estimates before and during the COVID-19 shelter-in-place in the SF bay Area
- Fine-tuning land cover models efficiently with transfer learning: a tool and case studies
- Lessons learned from our investments in AI For Good at Microsoft
- Scaling Ecological Insights
- Spatial Ensembling of Land Cover Models
- Sub-Seasonal Prediction With A Global Deep-Learning Weather Prediction Model
- SunPy 2.0: the community-developed open-source solar data analysis environment for Python
- Intraurban NO2 hotspot detection via clustering of in-situ, remote, and modeled air quality data products