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This project intends to use the Mount Denali ice core archive to develop the most comprehensive suite of North Pacific fire and summer climate proxy records since about 2500 years before present. Wildfire is a key component of summer climate in the North Pacific where wildfires are projected to increase with continued summer warming. Studies that combine paleorecords of summer climate and wildfire are therefore critically needed, especially in the North Pacific region where fire recurrence rate and decadal-to-centennial scale climate fluctuations occur over longer time periods than are covered by direct observations. The goal of the proposed research is to improve our understanding of relationships between summertime climate and wildfire activity, focusing especially on the Medieval Climate Anomaly (MCA), when regional temperatures were perhaps as warm as the 20th century. Recent advances now permit the measurement of new fire-related (pyrogenic) compounds in ice cores, enabling the development of a robust fire record capable of rigorous comparison with regional paleoclimate reconstructions.

This data package is associated with the publication “Radiative impact of record-breaking wildfires from integrated ground-based data” submitted to Nature Scientific Reports (Kassianov et al., 2024). Data from ground-based measurements of shortwave and spectrally resolved irradiance and aerosol optical depth (AOD) in the visible and near-infrared spectral ranges were assessed to quantify the radiative impact of the September 2020 wildfires that occurred in the Western United States. Data were collected in September 2020 by several ground-based instruments at the Atmospheric Measurements Laboratory (AML) located in Richland, Washington (46.3451, -119.2792). These data include (1) Aerosol Optical Depth (AOD); (2) spectrally resolved and shortwave (SW) irradiances; (3) backscatter profiles; (4) total sky images; and (5) near-surface ambient air temperatures.The data package consists of five sub-directories: (1) “AML_Ceilometer_”; (2)” AML_CSPHOT_”; (3) “AML_MFRSR_irradiances_”; (4) “AML_SW_irradiances_and_Temp_”; (5) “AML_TSI_images_”; and 6 files stored at the directory level, including the readme, file-level metadata file, and data dictionary. The file-level metadata file (the file ending in “_flmd.csv”) lists all files contained in this data package and descriptions for each. The data dictionary (the file ending in “_dd.csv”) describes each tabular column header’s unit, definition, and structure. Below are descriptions of each sub-directory:“AML_Ceilometer_” includes ceilometer data collected at the AML. These files contain the corresponding narratives of data. Details related to the ceilometer data can be found in Morris (2016). “AML_CSPHOT_” includes ascii files with high-temporal resolution (about 10-15 min) AML CSPHOT data and their daily-averaged counterparts. These two files contain the corresponding narratives of data. Details related to the CSPHOT data can be found in Gregory (2011). “AML_MFRSR_irradiances_” includes ascii files with the AML MFRSR-measured diffuse, normal, and total spectrally resolved irradiance. Details related to the MFRSR data can be found in Hodges and Michalsky (2016) and Koontz et al. (2013). “AML_SW_irradiances_+_Temp_” includes near-surface ambient air temperature and SW irradiances, namely direct normal, diffuse hemispherical, and total hemispheric (global), measured at the AML. These files also incorporate the corresponding narratives of data. Details related to the SW irradiances can be found in Andreas et al. (2018). “AML_TSI_images_” includes Total Sky Images (TSIs) collected at the AML. Details related to the TSI data can be found in Morris (2005).

This dataset holds information on data and methods for the Melvin et al., 2016 publication entitled Climate change damages to Alaska public infrastructure and the economics of proactive adaptation. The abstract for this paper is as follows: Climate change in the circumpolar region is causing dramatic environmental change that is increasing the vulnerability of infrastructure. We quantified the economic impacts of climate change on Alaska public infrastructure under relatively high and low climate forcing scenarios [representative concentration pathway 8.5 (RCP8.5) and RCP4.5] using an infrastructure model modified to account for unique climate impacts at northern latitudes, including near-surface permafrost thaw. Additionally, we evaluated how proactive adaptation influenced economic impacts on select infrastructure types and developed first-order estimates of potential land losses associated with coastal erosion and lengthening of the coastal ice-free season for 12 communities. Cumulative estimated expenses from climate-related damage to infrastructure without adaptation measures (hereafter damages) from 2015 to 2099 totaled $5.5 billion (2015 dollars, 3% discount) for RCP8.5 and $4.2 billion for RCP4.5, suggesting that reducing greenhouse gas emissions could lessen damages by $1.3 billion this century. The distribution of damages varied across the state, with the largest damages projected for the interior and southcentral Alaska. The largest source of damages was road flooding caused by increased precipitation followed by damages to buildings associated with near-surface permafrost thaw. Smaller damages were observed for airports, railroads, and pipelines. Proactive adaptation reduced total projected cumulative expenditures to $2.9 billion for RCP8.5 and $2.3 billion for RCP4.5. For road flooding, adaptation provided an annual savings of 80–100% across four study eras. For nearly all infrastructure types and time periods evaluated, damages and adaptation costs were larger for RCP8.5 than RCP4.5. Estimated coastal erosion losses were also larger for RCP8.5.

Please cite as: Wuebbles, D., J. Angel, K. Petersen, and A.M. Lemke, (Eds.), 2021: An Assessment of the Impacts of Climate Change in Illinois. The Nature Conservancy, Illinois, USA. https://doi.org/10.13012/B2IDB-1260194_V1 Climate change is a major environmental challenge that is likely to affect many aspects of life in Illinois, ranging from human and environmental health to the economy. Illinois is already experiencing impacts from the changing climate and, as climate change progresses and temperatures continue to rise, these impacts are expected to increase over time. This assessment takes an in-depth look at how the climate is changing now in Illinois, and how it is projected to change in the future, to provide greater clarity on how climate change could affect urban and rural communities in the state. Beyond providing an overview of anticipated climate changes, the report explores predicted effects on hydrology, agriculture, human health, and native ecosystems.

Neocalanus distribution, mean length, mean weight, abundance and biomass from the Gulf of Alaska, Fall 2015, 2016 and 2017

Climate change is progressing rapidly in the Arctic, leading to changes in plant phenology and in the seasonal patterns of plant properties such as tissue nitrogen (N) content and aboveground biomass. The purpose of this study was to understand the environmental controls on seasonality in tissue N and biomass of Arctic vegetation across the North Slope of Alaska, and how these seasonal patterns vary among Arctic plant functional groups (i.e. shrubs, graminoids, forbs, dwarf shrubs, lichens, bryophytes). We sampled vegetation from 71 points over three years (2017-2019), visiting each point three times (June, July, Sept) during one year. Vegetation biomass and tissue N concentration was determined by vegetation functional group at each location for each time of year. This dataset contains vegetation biomass and tissue nitrogen concentration by vegetation functional group (shrub, graminoid, dwarf shrub, forb, lichen, bryophyte). These data were collected at ~75 locations in northern Alaska three times per growing season. A new set of ~25 points was sampled for three years (2017-2019).

Global food production must increase to meet the demand associated with increased population growth, so irrigation water use will continue to rise. Therefore, it is important to monitor water usage particularly when an irrigation flowmeter is unavailable. A field water balance was created for a selection of rice fields in East-central Arkansas under observation in 2018 and 2019. From those, irrigation inputs are deduced from the water balance alone. First, each field had sensors that collected water table level (WTL) data. Next, other water inputs and outputs such as precipitation and evapotranspiration (ET) were collected from two modeled sources. The remaining outputs—levee seepage, deep percolation, and runoff—were assumed to be negligible. The water balance was created for a production-scale field that is zero-grade with no drainage and another production-scale field (0.18% slope) with no drainage. This water balance model was tested against irrigation data that was collected for each field during the growing season either with flowmeters or written records from the farmer. The results indicate that the water balance may have potential to predict irrigation on days when the WTL is positive. The model was not very accurate, but the results were mostly consistent for each field. The model underpredicted irrigation by approximately 50% for both fields, likely due to the drainage factors that were originally considered negligible and inaccuracies of the modeled sources. However, with more research, these factors can be properly assessed and included as necessary to ensure more accuracy. Farmers and scientists will both then be able to use this approach to track water usage and compare different irrigation methods to determine which practice conserves the most water while maintaining yield.

Climate change projections for the coastline of South Carolina predict that by mid-century there will be around 1.2 feet of sea level rise, and potentially up to 4 feet of rise by 2100. Additionally, climate change is linked to intensified hurricanes, a hazard for the South Carolina coastline every year. Both of these scenarios result in increases in the regularity and severity of coastal flooding, making the threat of permanent or temporary displacement (relocation) from coastal lands a reality. This is a particularly pressing matter for African American communities already made vulnerable by the long history of racial discrimination in the United States, which includes historically racist lending practices that have dispossessed African American land owners of coastal, family properties. As the threats of climate change materialize, there has been an influx of coastal development, gentrification, and whitening of the coastline facilitated by so-called colorblind climate change planning and environmental engineering that has largely excluded African American landowners from planning processes. In order to understand how contemporary coastal development and climate change planning practices potentially exacerbate these inequalities, my research will examine three interrelated questions: How does situating coastal South Carolina within multiple geographies inform the present governance of adaptation to climate change? What is the state narrative of climate change, and how are heirs’ property owners included or excluded in planning? And, what does the land of heirs’ property owners mean to them?

These data are related to surveys of eelgrass beds in Norma Bay, Izembek Lagoon, Alaska. The table provides eelgrass shoot lengths and density measurements from sampling in September 1987.