Aims and scope

Ingeniería Agrícola y Biosistemas (Agricultural and Biosystems Engineering; INAGBI) is a bilingual (Spanish and English) scientific journal published by the Universidad Autónoma Chapingo on a biannual basis. It offers professionals in agricultural and biosystems engineering a means of disseminating and discussing the results of unpublished research. In this sense, the journal’s aim is to disseminate the results of scientific research and technological developments related to biological systems and agricultural engineering.

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     Vol. 15, issue 2 July - December 2023  Creative Commons License

      
 

     Vol. 15, issue 2 July - December 2023  

 
  

  • Evaluation of the SPI with high-resolution datasets in historical and future climate in central Mexico

  • Evaluación del índice de precipitación estandarizado (SPI) con datos de alta resolución en clima histórico y futuro en el centro de México

Juan Alberto Velázquez-Zapata

Keywords: drought, standard precipitation index, CHIRPS, PERSIANN-CDR, climate change

10.5154/r.inagbi.2023.06.030

Received: 2023-05-30
Accepted: 2023-12-13
Available online: 2023-12-29
Pages:3-23

Introduction: Drought monitoring needs good quality meteorological data, but records frequently face problems. Therefore, satellite precipitation datasets are an alternative.
Objective: Evaluation of three high-resolution datasets (compared with observed precipitation) to capture wet and dry periods. In addition, the influence of the selection of the dataset to downscale future climate simulations is evaluated in the estimation of drought indicators.
Methodology: Precipitation products (NOAA, CHIRPS and PERSIANN-CDR) were compared with observations from seven meteorological stations (1983-2013). The 12-month standard precipitation index (SPI) was selected to evaluate drought conditions. Also, precipitation estimates from CanESM2 were downscaled and bias-corrected with each dataset.
Results: The annual precipitation cycle is well capture, but underestimation is noted. The datasets have a good correlation, but less variability. Regarding the SPI, results show good correlation, but extremely dry events are generally underestimated with CHIRPS and PERSIANN-CDR. The NOAA dataset performs better in terms of categorical scores, especially for wet events. Similar median values were found in the drought indicators in future; however, the datasets lead to less variability than observations, especially in the drought frequency indicator.
Study limitations: Limited number of good quality meteorological records.
Originality: Selected precipitation datasets are tested under different climatic conditions for the first time in Mexico. Also, the influence of the reference precipitation dataset for bias correction is evaluated on future drought projections.
Conclusions: Precipitation products should be tested before their use in monitoring droughts in the historical period, as well as in estimating droughts with future projections.

....

Introduction: Drought monitoring needs good quality meteorological data, but records frequently face problems. Therefore, satellite precipitation datasets are an alternative.
Objective: Evaluation of three high-resolution datasets (compared with observed precipitation) to capture wet and dry periods. In addition, the influence of the selection of the dataset to downscale future climate simulations is evaluated in the estimation of drought indicators.
Methodology: Precipitation products (NOAA, CHIRPS and PERSIANN-CDR) were compared with observations from seven meteorological stations (1983-2013). The 12-month standard precipitation index (SPI) was selected to evaluate drought conditions. Also, precipitation estimates from CanESM2 were downscaled and bias-corrected with each dataset.
Results: The annual precipitation cycle is well capture, but underestimation is noted. The datasets have a good correlation, but less variability. Regarding the SPI, results show good correlation, but extremely dry events are generally underestimated with CHIRPS and PERSIANN-CDR. The NOAA dataset performs better in terms of categorical scores, especially for wet events. Similar median values were found in the drought indicators in future; however, the datasets lead to less variability than observations, especially in the drought frequency indicator.
Study limitations: Limited number of good quality meteorological records.
Originality: Selected precipitation datasets are tested under different climatic conditions for the first time in Mexico. Also, the influence of the reference precipitation dataset for bias correction is evaluated on future drought projections.
Conclusions: Precipitation products should be tested before their use in monitoring droughts in the historical period, as well as in estimating droughts with future projections.

....
 

COretention and application frequency optimizes yield per gas used in hydroponic lettuce

Federico Hahn-Schlam;Edi Manqueiros;Juan José Aguilar;Homero Alonso;Abel Lorenzo-Cabrera;Rafael de la Cruz

10.5154/r.inagbi.2009.04.001

Received: 2009-04-25
Accepted: 2009-06-24
Available online: 2009-06-29

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Simultaneous three climatic variable predictions in a greenhouse

Raquel Salazar-Moreno;Abraham Rojano-Aguilar;Uwe Schmidt;Christian Huber

10.5154/r.inagbi.2009.05.013

Received: 2009-05-31
Accepted: 2009-06-24
Available online: 2009-06-15

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Mechanical properties and ripening of mango fruits (Mangifera indica L.) under axial compression

Artemio Pérez-López;Carlos Alberto Villaseñor-Perea;Verónica Crisanto-Martínez;J. Joel Corrales-García

10.5154/r.inagbi.2009.05.011

Received: 2009-05-28
Accepted: 2009-06-23
Available online: 2009-06-15

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Beans (Phaseolus vulgaris L.) nixtamalization optimization and development of new food PRODUCT

Paula Téllez-Téllez;Adriana Arellano-San Vicente;María Ofelia Buendía-González;Juan Velázquez-Mendoza;María Griselda Vázquez-Carrillo

10.5154/r.inagbi.2009.06.014

Received: 2009-06-03
Accepted: 2009-06-20
Available online: 2009-06-15

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Modeling of a modified atmosphere to preserve husk tomato (Physalis ixocarpa BROT.) fruits

Salvador Valle-Guadarrama;Adalberto Gómez-Cruz;Fabiola Cruz-Cruz;Armando Chan-Chi

10.5154/r.inagbi.2009.05.004

Received: 2009-05-15
Accepted: 2009-06-20
Available online: 2009-06-15

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Texture and microstructure of low-fat and low-cholesterol panela type cheeses: different methodologies

Consuelo Lobato-Calleros;Ivanhoe Lozano-Castañeda;E. Jaime Vernon-Carter

10.5154/r.inagbi.2009.05.009

Received: 2009-05-26
Accepted: 2009-06-25
Available online: 2009-06-15

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Tractional force of the plow subsoiler as a function of work width

Eugenio Romantchik-Kriuchkova;Ismael Sandoval-Assia;Noel Chávez-Aguilera;José Gaytán-Ruelas;Pedro Mayans-Céspedes

10.5154/r.inagbi.2009.05.007

Received: 25-05-2009
Accepted: 28-06-2009
Available online: 2014-06-30

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Gamma irradiation as a quarantine treatment on guava fruits (Psidium guajava L.) and changes in its quality

María del Rosario Justo-Gómez;Arturo Hernández-Montes

10.5154/r.inagbi.2009.05.006

Received: 2009-05-20
Accepted: 2009-06-29
Available online: 2009-06-15

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Analysis of guava (Psisium guajava L.) fruits under compression and its relation to physiological processes

José Antonio Yam-Tzec;Carlos Alberto Villaseñor-Perea;Eugenio Romantchik-Kriuchkova;Martín Soto-Escobar;Miguel Ángel Peña-Peralta

10.5154/r.inagbi.2009.05.003

Received: 2009-05-08
Accepted: 2009-06-30
Available online: 2009-06-15

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Land use change and runoff in the Huehuetan watershed

Juan Juárez-Méndez;Laura A. Ibáñez-Castillo;Samuel Pérez-Nieto;José Luis L. Arellano-Monterrosas

10.5154/r.inagbi.2009.07.016

Received: 2009-06-24
Accepted: 2010-04-14
Available online: 2010-06-12

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Tires pull force of a tractor in the 4X2 and 4x4 schemes when it makes a turn

Álvaro Morelos-Moreno;Eugenio Romantchik-Kriuchkova;José Gaytán-Ruelas;Carlos Alberto Villaseñor-Perea

10.5154/r.inagbi.2009.07.015

Received: 2009-06-07
Accepted: 2010-04-09
Available online: 2010-06-15

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Onion slices dehydration in a dryer with air dehumidification based on silica gel

Federico Hahn-Schlam;José Manuel Vargas-Sállago

10.5154/r.inagbi.2009.10.019

Received: 0000-00-00
Accepted: 0000-00-00
Available online: 2010-06-15

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