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Dive into the research topics where Dan C. Collins is active.

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Featured researches published by Dan C. Collins.


Climate Dynamics | 2013

Linear trends in sea surface temperature of the tropical Pacific Ocean and implications for the El Niño-Southern Oscillation

Michelle L. L’Heureux; Dan C. Collins; Zeng-Zhen Hu

A principal component decomposition of monthly sea surface temperature (SST) variability in the tropical Pacific Ocean demonstrates that nearly all of the linear trends during 1950–2010 are found in two leading patterns. The first SST pattern is strongly related to the canonical El Niño-Southern Oscillation (ENSO) pattern. The second pattern shares characteristics with the first pattern and its existence solely depends on the presence of linear trends across the tropical Pacific Ocean. The decomposition also uncovers a third pattern, often referred to as ENSO Modoki, but the linear trend is small and dataset dependent over the full 61-year record and is insignificant within each season. ENSO Modoki is also reflected in the equatorial zonal SST gradient between the Niño-4 region, located in the west-central Pacific, and the Niño-3 region in the eastern Pacific. It is only in this zonal SST gradient that a marginally significant trend arises early in the Northern Hemisphere spring (March–May) during El Niño and La Niña and also in the late summer (July–September) during El Niño. Yet these SST trends in the zonal gradient do not unequivocally represent an ENSO Modoki-like dipole because they are exclusively associated with significant positive SST trends in either the eastern or western Pacific, with no corresponding significant negative trends. Insignificant trends in the zonal SST gradient are evident during the boreal wintertime months when ENSO events typically mature. Given the presence of positive SST trends across much of the equatorial Pacific Ocean, using fixed SST anomaly thresholds to define ENSO events likely needs to be reconsidered.


Weather and Forecasting | 2014

Skillful Wintertime North American Temperature Forecasts out to 4 Weeks Based on the State of ENSO and the MJO

Nathaniel C. Johnson; Dan C. Collins; Steven B. Feldstein; Emily E. Riddle

Previous work has shown that the combined influence of El Ni~ Oscillation (ENSO) and the Madden–Julian oscillation (MJO) significantly impacts the wintertime circulation over North America for lead times up to at least 4 weeks. These findings suggest that both the MJO and ENSO may prove beneficial for generating a seamless prediction link between short-range deterministic forecasts and longer-range seasonal forecasts. To test the feasibility of this link, wintertime (December–March) probabilistic 2-m temperature (T2m) forecasts over North America are generated solely on the basis of the linear trend and statistical relationships with the initial state of the MJO and ENSO. Overall, such forecasts exhibit substantial skill for some regions and some initial states of the MJO and ENSO out to a lead time of approximately 4 weeks. In addition, the primary ENSO T2m regions of influence are nearly orthogonal to those of the MJO, which suggests that the MJO and ENSO generally excite different patterns within the continuum of large-scale atmospheric teleconnections. The strong forecast skill scores for some regions and initial states confirm the promisethatinformationfromtheMJOandENSOmayofferforecastsofopportunityinweeks3and4,which extend beyond the current 2-week extended-range outlooks of the National Oceanic and Atmospheric Administration’s (NOAA) Climate Prediction Center (CPC), and an intraseasonal link to longer-range probabilistic forecasts.


Climate Dynamics | 2015

Tropospheric biennial oscillation of summer monsoon rainfall over East Asia and its association with ENSO

Yunyun Liu; Zeng‑Zhen Hu; Arun Kumar; Peitao Peng; Dan C. Collins; Bhaskar Jha

Based on observations and a set of Atmospheric Model Intercomparison Project (AMIP)-type simulations, the climatic characteristics and dominant spatial patterns of summer rainfall on tropospheric biennial oscillation (TBO) time scales over the East Asian summer monsoon (EASM) region were examined, and the association with sea surface temperature anomalies (SSTAs) and El Niño-Southern Oscillation were analyzed. It was noted that to some extent, the AMIP run successfully simulated the spatial distribution and amplitude of the observed TBO component. Furthermore, the AMIP ensemble mean increased the fraction of total variance of the TBO component, suggesting that SSTAs may have a rainfall response over the EASM region on TBO time scales. The analysis also indicated that a spatial pattern of rainfall on TBO time scales with opposite variations between northern and southern China showed a consistent and robust relationship with SSTAs in the tropical Pacific Ocean in both the AMIP simulations and observations. Statistically,when an El Niño (La Niña) develops, northern China favors dry (wet) conditions and southern China favors wet (dry) conditions at TBO time scales.


Weather and Forecasting | 2016

Sensitivity of Calibrated Week-2 Probabilistic Forecast Skill to Reforecast Sampling of the NCEP Global Ensemble Forecast System

Melissa H. Ou; Michael E. Charles; Dan C. Collins

AbstractCPC requires the reforecast-calibrated Global Ensemble Forecast System (GEFS) to support the production of their official 6–10- and 8–14-day temperature and precipitation forecasts. While a large sample size of forecast–observation pairs is desirable to generate the necessary model climatology and variances, and covariances to observations, sampling by reforecasts could be done to use available computing resources most efficiently. A series of experiments was done to assess the impact on calibrated forecast skill of using a smaller sample size than the current available reforecast dataset. This study focuses on the skill of week-2 probabilistic forecasts of the 7-day-mean 2-m temperature and accumulated precipitation. The tercile forecasts are expressed as being below-, near-, and above-normal temperature/median precipitation over the continental United States (CONUS). Calibration statistics were calculated using an ensemble regression technique from 25 yr of daily, 11-member GEFS reforecasts for ...


Climate Dynamics | 2013

The impact of the MJO on clusters of wintertime circulation anomalies over the North American region

Emily E. Riddle; Marshall B. Stoner; Nathaniel C. Johnson; Michelle L. L’Heureux; Dan C. Collins; Steven B. Feldstein


Climate Dynamics | 2015

Contribution of phenology and soil moisture to atmospheric variability in ECHAM5/JSBACH model

Manik Bali; Dan C. Collins


Atmospheric Science Letters | 2018

Bias correction to improve the skill of summer precipitation forecasts over the contiguous United States by the North American multi‐model ensemble system

Bala Narapusetty; Dan C. Collins; Raghu Murtugudde; Jon Gottschalck; Christa D. Peters-Lidard


98th American Meteorological Society Annual Meeting | 2018

Potential Forecast of Extremes using a Multimodel Ensemble (MME)

Dan C. Collins


artificial intelligence and its applications | 2017

On the Potential Forecast of Extremes in Seasonal Temperatures using a Multi-Model Ensemble (MME)

Dan C. Collins


Archive | 2017

The Subseasonal Experiment (SubX)

Ben P. Kirtman; Kathy Pegion; Timothy DelSole; Michael K. Tippett; Andrew W. Robertson; Michael A. Bell; Robert J. Burgman; Hai Lin; Jon Gottschalck; Dan C. Collins; Wei Li; Eric Sinsky; Hong Guan; Yuejian Zhu; Emily Becker; Emerson Lajoie; Kyle MacRitchie; Dugong Min; Rong Fu; Deepthi Achuthavarier; Randy Koster; Lena Marshak; Bertrand Denis; Neil Barton; E. Joseph Metzger; Shan Sun; Stan Benjamin; Benjamin W. Green

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Emily E. Riddle

National Oceanic and Atmospheric Administration

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Jon Gottschalck

National Oceanic and Atmospheric Administration

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Michelle L. L’Heureux

National Oceanic and Atmospheric Administration

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Steven B. Feldstein

Pennsylvania State University

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Arun Kumar

National Oceanic and Atmospheric Administration

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Bala Narapusetty

National Oceanic and Atmospheric Administration

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Bhaskar Jha

National Oceanic and Atmospheric Administration

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