Strong natural variability has been thought to mask possible climate-change-driven trends in phytoplankton populations from Earth-observing satellites. More than 30 years of continuous data were thought to be needed to detect a trend driven by climate change1. Here we show that climate-change trends...
For instance, air temperature is an excellent indicator that locally aggregates surface and atmospheric (vertical and horizontal) energy budgets. The temperatures in the Arctic have warmed three1 to four5 times that of the globe, increasing by ~3 °C during the 1971–2019 period according to...
To use the change document functionality in your application, proceed as follows: 1. Define the change document object 2. Check in the Dictionary, whether the data elements of the fields which are to be logged are flagged appropriately. ...
Global mean sea-level change is a key indicator of the Earth's climate state. Changes in temperature alter global mean sea level through changes in ocean mass (e.g., glaciers and ice sheets) and ocean density (i.e., ocean heat content). Additional factors and processes influence sea-level...
Biotic change and species turnover in local communities are of intense interest in organismal biology, with spatial and temporal changes in species composition occurring on multiple scales (Soininen, 2010). However, the time scales involved in studies to date have been rather disparate: systematics ...
The present synthesis addresses current interest, knowledge, programs, methods and research results to date regarding global change and subsurface water (groundwater). Interest and scientific investigations have grown rapidly in the last decade, as evinced by conferences, international programs and the ...
III. Significant Changes in China’s Response to Climate Change 四、共建公平合理、合作共赢的全球气候治理体系 IV. Building a Fair and Rational Global Climate Governance System for Win-Win Results 结束语 Conclusion 前言 Preface...
Trends in sea ice thickness are another important indicator of Arctic climate change. While sea ice thickness observations are sparse, here we utilize the ocean and sea ice model, PIOMAS (Zhang and Rothrock, 2003), to visualize mean sea ice thickness from 1979 to 2019. Updated through February...
The key sector of interest in FUND, for this research, is the storm sector which is the only sector that is reflective of how climate change impacts the economic cost of extreme events. The FUND model calculates estimated damages (capital loss) and mortality for tropical and extra-tropical ...
Potential climate tipping points pose a growing risk for societies, and policy is calling for improved anticipation of them. Satellite remote sensing can play a unique role in identifying and anticipating tipping phenomena across scales. Where satellite