...
首页> 外文期刊>Biogeochemistry >Spatial predictions of sea surface dimethylsulfide concentrations in the high arctic
【24h】

Spatial predictions of sea surface dimethylsulfide concentrations in the high arctic

机译:高北极地区海表二甲基硫浓度的空间预测

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The climatically-important compound dimethylsul?de (DMS) has been reported to be abundant in the Arctic, particularly in the marginal sea ice zone. Due to these high concentrations, it may play an important role in climate control. A DMS monthly climatology for July through October was created employing various ocean characteristics and spatial modeling techniques commonly used for describing species distributions in ecology. Comparisons between observed and predicted values of surface seawater DMS concentrations led to r 2 values of 0.61, 0.87, 0.66, and 0.37 for July, August, September, and October, respectively. Measurement data used for model development for July through October were variably distributed spatially. For October only, data were sparse and clustered, resulting in the poor results obtained for this month. Mean sea ice concentration and surface nitrate concentrations were found to be important predictors of surface seawater DMS concentrations. A negative relationship between sea ice concentration and DMS, and a two-phase relationship between nitrate and DMS were found. The two-phase relationship may be indicative of how DMS concentrations are affected when nitrate is the limiting nutrient. From July to September, predicted DMS concentrations were generally lowest under the sea ice. High monthly DMS concentrations (up to 10.7 nM) were predicted in the seasonal ice zone. The highest DMS concentrations in September (*2.6 nM) were predicted along the ice edge. In order to create more accurate climatologies and to increase our understanding of sulfur cycling in the Arctic, a higher spatial and temporal distribution of DMS measurements is required.
机译:据报道,气候上重要的二甲基硫化物(DMS)在北极地区特别是边缘海冰带中含量很高。由于这些高浓度,它可能在气候控制中发挥重要作用。利用通常用于描述生态中物种分布的各种海洋特征和空间建模技术,创建了7月至10月的DMS月度气候学。地表海水DMS浓度的观测值与预测值之间的比较导致7月,8月,9月和10月的r 2值分别为0.61、0.87、0.66和0.37。 7月至10月用于模型开发的测量数据在空间上呈可变分布。仅对于10月,数据稀疏和聚集,导致本月获得的结果不佳。发现平均海冰浓度和地表硝酸盐浓度是地表海水DMS浓度的重要预测指标。发现海冰浓度与DMS之间呈负相关,硝酸盐与DMS之间呈两相关系。两相关系可以指示当硝酸盐是限制性营养素时如何影响DMS浓度。从7月到9月,海冰下的DMS预测浓度通常最低。在季节性冰区,预计每月DMS浓度较高(高达10.7 nM)。预计9月份沿冰缘的最高DMS浓度(* 2.6 nM)。为了建立更准确的气候并增进我们对北极硫循环的理解,需要DMS测量的时空分布更高。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号