Paul Bullock

Dr. Paul Bullock


Research Focus & Metrics

Academic Career Length

42Years (1985-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2011 in Agricultural and Forest Meteorology
Verified
Journal Article
Closed access
MMM.S. Mkhabela
M.S. Mkhabela
PBPaul Bullock
Paul Bullock
SRS. Raj
S. Raj
Shusen WangShusen Wang
Shusen Wang
YYY. Yang
Y. Yang

13 November 2014 in IEEE Transactions on Geoscience and Remote Sensing
Verified
Journal Article
Closed access
HMHeather McNairn
Heather McNairn
TJThomas J. Jackson
Thomas J. Jackson
GWGrant Wiseman
Grant Wiseman
SBStephane Belair
Stephane Belair
Aaron BergAaron Berg
Aaron Berg
MHMehdi Hosseini
Mehdi Hosseini
The National Aeronautics and Space Administration (NASA) Soil Moisture Active Passive (SMAP) satellite is scheduled for launch in January 2015. In order to develop robust soil moisture retrieval algorithms that fully exploit the unique capabilities of SMAP, algorithm developers had identified a need for long-duration combined active and passive L-band microwave observations. In response to this need, a joint Canada-U.S. field experiment (SMAPVEX12) was conducted in Manitoba (Canada) over a six-week period in 2012. Several times per week, NASA flew two aircraft carrying instruments that could simulate the observations the SMAP satellite would provide. Ground crews collected soil moisture data, crop measurements, and biomass samples in support of this campaign. The objective of SMAPVEX12 was to support the development, enhancement, and testing of SMAP soil moisture retrieval algorithms. This paper details the airborne and field data collection as well as data calibration and analysis. Early results from the SMAP active radar retrieval methods are presented and demonstrate that relative and absolute soil moisture can be delivered by this approach. Passive active L-band sensor (PALS) antenna temperatures and reflectivity, as well as backscatter, closely follow dry down and wetting events observed during SMAPVEX12. The SMAPVEX12 experiment was highly successful in achieving its objectives and provides a unique and valuable data set that will advance algorithm development.

1 July 2012 in Agricultural Water Management
Verified
Journal Article
Closed access
MMManasah S. Mkhabela
Manasah S. Mkhabela
PBPaul Bullock
Paul Bullock

23 February 2015 in Vadose Zone Journal
Verified
Journal Article
Closed access
EOE. RoTimi Ojo
E. RoTimi Ojo
PBPaul Bullock
Paul Bullock
JLJessika L'HEureux
Jessika L'HEureux
JPJarrett Powers
Jarrett Powers
HMHeather McNairn
Heather McNairn
APAnna Pacheco
Anna Pacheco

1 August 2013 in Journal of Hydrology
Verified
Journal Article
Closed access
TRTracy L. Rowlandson
Tracy L. Rowlandson
Aaron BergAaron Berg
Aaron Berg
PBPaul Bullock
Paul Bullock
EOE. RoTimi Ojo
E. RoTimi Ojo
HMHeather McNairn
Heather McNairn
Michael CoshMichael Cosh
Michael Cosh

1 January 2018 in Vadose Zone Journal
Verified
Journal Article
Open access
PDF file
HBHassan A.K.M. Bhuiyan
Hassan A.K.M. Bhuiyan
HMHeather McNairn
Heather McNairn
JPJarrett Powers
Jarrett Powers
MFMatthew Friesen
Matthew Friesen
APAnna Pacheco
Anna Pacheco
RMRamata Magagi
Ramata Magagi
Core Ideas: Upscaling methods compared in situ measures with soil moisture from the SMAP satellite. The accuracy of SMAP soil moisture products in annual cropland was assessed. The spatial representativeness of sparse in situ networks was determined. In 2015, NASA launched the Soil Moisture Active Passive (SMAP) satellite. Data from this satellite are being exploited to improve forecasting of extreme weather events and delivery of disaster response. International core validation sites (CVSs) have been contributing in situ soil moisture data to validate and calibrate SMAP soil moisture products. Overall the soil moisture retrieval errors have exceeded SMAP's mission requirement (errors below 0.04 m 3 m −3 ), with the exception of some sites of annual cropland as present at the Carman (Canada) CVS. In 2016, a SMAP validation experiment was conducted at the Canadian site in Manitoba (SMAPVEX16‐MB) in an attempt to understand the differences between the SMAP soil moisture retrievals and the permanent in situ network observations. The research presented here analyzed the performance of this network in representing soil moisture within a SMAP pixel and tested five upscaling approaches. Comparisons between the permanent network and SMAPVEX16‐MB measurements (from temporary stations and field measures) confirmed agreement among these three sources of soil moisture measures. The SMAP soil moisture values were compared with in situ soil moisture upscaled from the four tested approaches as well as soil moisture estimated by the NOAH Land Surface Model (LSM). There were similar discrepancies when analyzing all methods (RMSE 0.072–0.074 m 3 m −3 for the four upscaling methods; 0.076 m 3 m −3 for the LSM approach), yielding no reduction in the soil moisture RMSE for this site. The SMAP team will continue to investigate other factors that may be contributing to errors above 0.04 m 3 m −3 at these annually cropped CVSs.