共 84 条
A study of field-scale soil moisture variability using the COsmic-ray Soil Moisture Observing System (COSMOS) at IITM Pune site
被引:18
作者:
Mujumdar, Milind
[1
]
Goswami, Mangesh M.
[1
,3
]
Morrison, Ross
[2
]
Evans, Jonathan G.
[2
]
Ganeshi, Naresh
[1
]
Sabade, S. S.
[1
]
Krishnan, R.
[1
]
Patil, S. N.
[3
]
机构:
[1] Govt India, Indian Inst Trop Meteorol CCCR IITM, Minist Earth Sci MoES, Ctr Climate Change Res, Pune 411008, Maharashtra, India
[2] UK Ctr Ecol & Hydrol UKCEH, Wallingford OX 10888, Oxon, England
[3] Kavayatri Bahinabai Chaudhari North Maharashtra U, Jalgaon, Maharashtra, India
基金:
英国自然环境研究理事会;
关键词:
Cosmic-ray soil moisture sensor;
COSMOS-IITM;
Field-scale soil moisture;
Validation;
Rainfall;
Temperature;
Wavelet coherence;
Soil moisture-temperature coupling zone;
ERA5;
GLDAS;
TIME-FREQUENCY LOCALIZATION;
CATCHMENT SCALE;
NEUTRON SENSORS;
WATER CONTENT;
WAVELET TRANSFORM;
VALIDATION;
PRODUCTS;
CALIBRATION;
HETEROGENEITY;
NETWORKS;
D O I:
10.1016/j.jhydrol.2021.126102
中图分类号:
TU [建筑科学];
学科分类号:
0813 ;
摘要:
This study presents an analysis of daily field-scale soil-moisture (SM) variations, measured using the COsmic-ray Soil Moisture Observing System (COSMOS), over a tropical monsoon site (IITM, Pune) in India, for the period 2017-2020. Being located in the core zone of the Indian summer monsoon, the daily field-scale SM observations at COSMOS-IITM provide an unique opportunity to understand the SM response to monsoon precipitation variations on sub-seasonal, seasonal and interannual time-scales. In addition to the COSMOS-IITM observations, we also evaluated SM variations over this location using satellite, reanalysis and model products for the same period. An important result from our analysis reveals the presence of biweekly (time-scale similar to 10-20 days) and low-frequency intra-seasonal (time-scale similar to 30-60 days) variations in the field-scale SM, which are linked to the dominant modes of Indian summer monsoon subseasonal variability. In particular, we find a pronounced enhancement of the low-frequency signal of SM variations during the 2019 monsoon which was characterized by abnormally excess precipitation and prolongation of rains well beyond the summer monsoon season, in contrast to 2018 monsoon. Moreover, this study highlights a longer persistence of SM memory time-scale (about 60 days) during 2019 as compared to 2017, 2018 and 2020. The validation of coarser resolution data sets revealed that GLDAS and ERA5 reasonably capture a range of observed field-scale SM variabilities over COSMOS-IITM site.
引用
收藏
页数:13
相关论文