AmeriFlux Year of Remote Sensing Tutorial Series – 1st installment
Join the first of three installments of the YoRS Tutorial Series. The Tutorial Series is designed to introduce theories and techniques related to remote sensing tailored to the flux community. The topic will be “Theory of remote sensing as it applies to fluxes” and will be presented by Josh Fisher, Troy Magney, Robinson Negron-Juarez, and... More
iLEAPS – OzFlux Joint Conference 2023
The original date of the iLEAPS - OzFlux Joint Conference was February 2021. Due to the Covid-19 pandemic, the conference has moved to 2023. The conference will be delivered in a hybrid context, that being a mix of physical and virtual attendance. Further details of how this will run will be announced during the year.... More
Year of Remote Sensing Tutorial Series #3
virtualDear community, We invite you to the third of three installments of the “Year of Remote Sensing Tutorial Series” on March 10th (Fri) at 9-10 am Pacific time. The Tutorial Series is designed to introduce theories and techniques related to remote sensing tailored to the flux community. The topic will be “Analyzing flux and remote... More
Innovations in Climate Resilience Conference
Columbus, OHClimate resiliency is focused on developing solutions to climate change. The technical program offers scientists and researchers an opportunity to join the community working at the forefront of innovations that reduce the impacts of climate change by restoring our ecosystems, by enabling adaptation of our built infrastructure and societies or by dramatically reducing the trajectory... More
Speaking Up: How Bystanders Can Change the Conversation about Social Bias
virtualEver wondered “Why didn’t I say something?” after witnessing social bias—a stereotype, a prejudice or discrimination—that happened in your everyday life? Deciding whether and how to respond to bias is complicated. Understanding what motivates us to speak up, the challenges we face when doing so, and strategies for effective responding can help bystanders to bias... More
EGU General Assembly 2023
The EGU General Assembly 2023 brings together geoscientists from all over the world to one meeting covering all disciplines of the Earth, planetary, and space sciences. The EGU aims to provide a forum where scientists, especially early career researchers, can present their work and discuss their ideas with experts in all fields of geoscience. Following... More
35th Conference on Agricultural and Forest Meteorology
The 35th Conference on Agricultural and Forest Meteorology, sponsored by the American Meteorological Society, will be held May 01-04, 2023 at the Royal Sonesta Minneapolis Downtown in Minneapolis, Minnesota, USA and online. This conference is organized by the AMS Committee on Agricultural and Forest Meteorology and is jointly held with the Sixth Conference on Atmospheric Biogeosciences and the 14th Symposium... More
2023 AmeriFlux Data-Tech workshop
Lawrence Berkeley National Lab 1 Cyclotron Rd, Berkeley, CA, United StatesDate: May 10-11, 2023 Location: Berkeley, CA or virtual Organizers: Sebastien Biraud, Stephen Chan, You-Wei Cheah, Danielle Christianson, Housen Chu, Sigrid Dengel, Gilberto Pastorello, and Christin Buechner After a long hiatus, the AmeriFlux Management Project (AMP) will host a Data-Tech workshop in Berkeley on May 10-11, 2023. This is an informal, interactive workshop to learn... More
NCAR-NEON Workshop on modeling and data visualization tools
We are excited to announce the next installment in our series of NCAR-NEON Workshops focused on linking the geosciences and ecology. This year’s workshop will focus on using NCAR-NEON modeling and data visualization tools to develop new research avenues and obtain feedback on how this collaboration can best serve the community going forward. The workshop... More
6th Training Course (Hybrid Virtual + in Person) on New Advances in Land Carbon Cycle Modeling
The training course will focus on the following aspects of land carbon modeling: - New theory on land carbon storage dynamics - Matrix approach to land carbon, nitrogen, and phosphorus modeling - Data assimilation system with both flux- and pool-based observations - Deep learning and machine learning to enhance process-based research - Ecological forecasting Please... More